From 00581bcc6c3c5282142810fab0cd1b50c16fde4a Mon Sep 17 00:00:00 2001 From: Patrick Hall Date: Thu, 1 Jun 2023 11:20:58 -0400 Subject: [PATCH] rank models for assignment 1 --- .../assignment_1/assign_1_template.ipynb | 194 +- assignments/eval.ipynb | 1694 +++++++++-------- .../model_eval_2023_06_01_11_08_41.csv | 26 + 3 files changed, 1117 insertions(+), 797 deletions(-) create mode 100644 assignments/model_eval_2023_06_01_11_08_41.csv diff --git a/assignments/assignment_1/assign_1_template.ipynb b/assignments/assignment_1/assign_1_template.ipynb index 643098c..14dbdbc 100644 --- a/assignments/assignment_1/assign_1_template.ipynb +++ b/assignments/assignment_1/assign_1_template.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "c3d251f5", "metadata": {}, "source": [ "## License \n", @@ -25,6 +26,7 @@ }, { "cell_type": "markdown", + "id": "02882302", "metadata": {}, "source": [ "# Assignment 1 Template" @@ -32,6 +34,7 @@ }, { "cell_type": "markdown", + "id": "63fddb06", "metadata": {}, "source": [ "#### Imports and inits" @@ -40,6 +43,7 @@ { "cell_type": "code", "execution_count": 1, + "id": "9ba40207", "metadata": { "scrolled": true }, @@ -48,33 +52,74 @@ "name": "stdout", "output_type": "stream", "text": [ - "Checking whether there is an H2O instance running at http://localhost:54321 ..... not found.\n", + "Checking whether there is an H2O instance running at http://localhost:54321..... not found.\n", "Attempting to start a local H2O server...\n", - " Java Version: openjdk version \"11.0.15\" 2022-04-19; OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.20.04.1); OpenJDK 64-Bit Server VM (build 11.0.15+10-Ubuntu-0ubuntu0.20.04.1, mixed mode, sharing)\n", - " Starting server from /home/patrickh/workspace/GWU_rml/assignments/env_rml/lib/python3.8/site-packages/h2o/backend/bin/h2o.jar\n", - " Ice root: /tmp/tmpq8xcdmo1\n", - " JVM stdout: /tmp/tmpq8xcdmo1/h2o_patrickh_started_from_python.out\n", - " JVM stderr: /tmp/tmpq8xcdmo1/h2o_patrickh_started_from_python.err\n", + " Java Version: openjdk version \"11.0.19\" 2023-04-18; OpenJDK Runtime Environment (build 11.0.19+7-post-Ubuntu-0ubuntu122.04.1); OpenJDK 64-Bit Server VM (build 11.0.19+7-post-Ubuntu-0ubuntu122.04.1, mixed mode, sharing)\n", + " Starting server from /home/patrickh/Workspace/GWU_rml/assignments/env_rml/lib/python3.10/site-packages/h2o/backend/bin/h2o.jar\n", + " Ice root: /tmp/tmp0kv2zsot\n", + " JVM stdout: /tmp/tmp0kv2zsot/h2o_patrickh_started_from_python.out\n", + " JVM stderr: /tmp/tmp0kv2zsot/h2o_patrickh_started_from_python.err\n", " Server is running at http://127.0.0.1:54321\n", - "Connecting to H2O server at http://127.0.0.1:54321 ... successful.\n", - "Warning: Your H2O cluster version is too old (2 years)! Please download and install the latest version from http://h2o.ai/download/\n" + "Connecting to H2O server at http://127.0.0.1:54321 ... successful.\n" ] }, { "data": { "text/html": [ - "
\n", - "\n", + "\n", + " \n", + "
\n", + "
H2O_cluster_uptime:01 secs
\n", + " \n", + " \n", + " \n", + "\n", "\n", "\n", "\n", "\n", "\n", - "\n", + "\n", "\n", - "\n", + "\n", "\n", - "\n", + "\n", "\n", "\n", "\n", @@ -84,37 +129,36 @@ "\n", "\n", "\n", - "\n", + "\n", "\n", "\n", "\n", "\n", "\n", "\n", - "\n", - "\n", "\n", - "
H2O_cluster_uptime:02 secs
H2O_cluster_timezone:America/New_York
H2O_data_parsing_timezone:UTC
H2O_cluster_version:3.32.1.3
3.40.0.4
H2O_cluster_version_age:2 years !!!
1 month and 3 days
H2O_cluster_name:H2O_from_python_patrickh_yj2rrg
H2O_from_python_patrickh_saq6em
H2O_cluster_total_nodes:1
H2O_cluster_free_memory:
H2O_cluster_allowed_cores:4
H2O_cluster_status:accepting new members, healthy
locked, healthy
H2O_connection_url:http://127.0.0.1:54321
H2O_connection_proxy:{\"http\": null, \"https\": null}
H2O_internal_security:False
H2O_API_Extensions:Amazon S3, XGBoost, Algos, AutoML, Core V3, TargetEncoder, Core V4
Python_version:3.8.10 final
" + "3.10.6 final\n", + " \n", + "\n" ], "text/plain": [ - "-------------------------- ------------------------------------------------------------------\n", - "H2O_cluster_uptime: 01 secs\n", + "-------------------------- -------------------------------\n", + "H2O_cluster_uptime: 02 secs\n", "H2O_cluster_timezone: America/New_York\n", "H2O_data_parsing_timezone: UTC\n", - "H2O_cluster_version: 3.32.1.3\n", - "H2O_cluster_version_age: 2 years !!!\n", - "H2O_cluster_name: H2O_from_python_patrickh_yj2rrg\n", + "H2O_cluster_version: 3.40.0.4\n", + "H2O_cluster_version_age: 1 month and 3 days\n", + "H2O_cluster_name: H2O_from_python_patrickh_saq6em\n", "H2O_cluster_total_nodes: 1\n", "H2O_cluster_free_memory: 6 Gb\n", "H2O_cluster_total_cores: 8\n", "H2O_cluster_allowed_cores: 4\n", - "H2O_cluster_status: accepting new members, healthy\n", + "H2O_cluster_status: locked, healthy\n", "H2O_connection_url: http://127.0.0.1:54321\n", "H2O_connection_proxy: {\"http\": null, \"https\": null}\n", "H2O_internal_security: False\n", - "H2O_API_Extensions: Amazon S3, XGBoost, Algos, AutoML, Core V3, TargetEncoder, Core V4\n", - "Python_version: 3.8.10 final\n", - "-------------------------- ------------------------------------------------------------------" + "Python_version: 3.10.6 final\n", + "-------------------------- -------------------------------" ] }, "metadata": {}, @@ -150,6 +194,7 @@ }, { "cell_type": "markdown", + "id": "18addd09", "metadata": {}, "source": [ "#### Start global timer" @@ -158,6 +203,7 @@ { "cell_type": "code", "execution_count": 2, + "id": "63f36277", "metadata": {}, "outputs": [], "source": [ @@ -166,6 +212,7 @@ }, { "cell_type": "markdown", + "id": "b065e6cd", "metadata": {}, "source": [ "#### Import data" @@ -174,6 +221,7 @@ { "cell_type": "code", "execution_count": 3, + "id": "15f138fa", "metadata": {}, "outputs": [], "source": [ @@ -183,6 +231,7 @@ }, { "cell_type": "markdown", + "id": "1ced4d55", "metadata": {}, "source": [ "#### Assign basic modeling roles" @@ -191,6 +240,7 @@ { "cell_type": "code", "execution_count": 4, + "id": "eeecbced", "metadata": {}, "outputs": [], "source": [ @@ -201,6 +251,7 @@ }, { "cell_type": "markdown", + "id": "f74ee72f", "metadata": {}, "source": [ "## Basic data exploration" @@ -208,6 +259,7 @@ }, { "cell_type": "markdown", + "id": "4f96df22", "metadata": {}, "source": [ "#### Histograms" @@ -216,11 +268,12 @@ { "cell_type": "code", "execution_count": 5, + "id": "50380558", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -235,6 +288,7 @@ }, { "cell_type": "markdown", + "id": "cd912681", "metadata": {}, "source": [ "#### Correlations" @@ -243,11 +297,12 @@ { "cell_type": "code", "execution_count": 6, + "id": "0eb9d767", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -265,6 +320,7 @@ }, { "cell_type": "markdown", + "id": "1c4c875e", "metadata": {}, "source": [ "## Fit interpretable models" @@ -272,6 +328,7 @@ }, { "cell_type": "markdown", + "id": "31713a6c", "metadata": {}, "source": [ "#### Split data into train and validation partitions " @@ -280,6 +337,7 @@ { "cell_type": "code", "execution_count": 7, + "id": "79770dce", "metadata": {}, "outputs": [ { @@ -311,6 +369,7 @@ }, { "cell_type": "markdown", + "id": "ad2c298d", "metadata": {}, "source": [ "### Elastic net" @@ -318,6 +377,7 @@ }, { "cell_type": "markdown", + "id": "605f571d", "metadata": {}, "source": [ "#### Define wrapper function for grid search" @@ -326,6 +386,7 @@ { "cell_type": "code", "execution_count": 8, + "id": "476b02a1", "metadata": {}, "outputs": [], "source": [ @@ -371,6 +432,7 @@ }, { "cell_type": "markdown", + "id": "0a8026b3", "metadata": {}, "source": [ "#### Fit elastic net with grid search" @@ -379,13 +441,22 @@ { "cell_type": "code", "execution_count": 9, + "id": "5643cbb6", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/patrickh/Workspace/GWU_rml/assignments/env_rml/lib/python3.10/site-packages/h2o/grid/grid_search.py:431: UserWarning: Adding alpha array to hyperparameter runs slower with gridsearch. This is due to the fact that the algo has to run initialization for every alpha value. Setting the alpha array as a model parameter will skip the initialization and run faster overall.\n", + " warnings.warn(w_message)\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Elastic net GLM training completed in 10.22 s.\n" + "Elastic net GLM training completed in 25.85 s.\n" ] } ], @@ -407,6 +478,7 @@ }, { "cell_type": "markdown", + "id": "0311d091", "metadata": {}, "source": [ "#### Basic AUC assessment" @@ -415,6 +487,7 @@ { "cell_type": "code", "execution_count": 10, + "id": "1b6c0dd3", "metadata": {}, "outputs": [ { @@ -431,6 +504,7 @@ }, { "cell_type": "markdown", + "id": "aabc5491", "metadata": {}, "source": [ "#### Write submission file" @@ -439,6 +513,7 @@ { "cell_type": "code", "execution_count": 11, + "id": "cee4f855", "metadata": {}, "outputs": [], "source": [ @@ -451,6 +526,7 @@ }, { "cell_type": "markdown", + "id": "3fc42d97", "metadata": {}, "source": [ "### Monotonic XGBoost" @@ -458,6 +534,7 @@ }, { "cell_type": "markdown", + "id": "8867ac5b", "metadata": {}, "source": [ "#### Define utility function for random grid search" @@ -466,6 +543,7 @@ { "cell_type": "code", "execution_count": 12, + "id": "5f967b1f", "metadata": {}, "outputs": [], "source": [ @@ -543,6 +621,7 @@ }, { "cell_type": "markdown", + "id": "cd376bbf", "metadata": {}, "source": [ "#### Fit monotonic XGBoost with random grid search" @@ -551,6 +630,7 @@ { "cell_type": "code", "execution_count": 13, + "id": "09a64b56", "metadata": {}, "outputs": [ { @@ -559,7 +639,7 @@ "text": [ "Grid search run 1/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.9, 'eta': 0.5, 'max_depth': 7, 'reg_alpha': 0.0005, 'reg_lambda': 0.005, 'subsample': 0.3, 'min_child_weight': 5, 'gamma': 0.0}\n", - "Grid search new best score discovered at iteration 1/50: 0.7915.\n", + "Grid search new best score discovered at iteration 1/50: 0.7909.\n", "---------- ----------\n", "Grid search run 2/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.3, 'colsample_bylevel': 0.3, 'eta': 0.05, 'max_depth': 5, 'reg_alpha': 0.0005, 'reg_lambda': 0.0005, 'subsample': 0.5, 'min_child_weight': 1, 'gamma': 0.2, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", @@ -616,7 +696,13 @@ "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.5, 'colsample_bylevel': 0.9, 'eta': 0.05, 'max_depth': 7, 'reg_alpha': 0.005, 'reg_lambda': 0.0005, 'subsample': 0.3, 'min_child_weight': 5, 'gamma': 0.2, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", "---------- ----------\n", "Grid search run 20/50:\n", - "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.3, 'eta': 0.05, 'max_depth': 3, 'reg_alpha': 0.05, 'reg_lambda': 0.0005, 'subsample': 0.7, 'min_child_weight': 10, 'gamma': 0.4, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", + "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.3, 'eta': 0.05, 'max_depth': 3, 'reg_alpha': 0.05, 'reg_lambda': 0.0005, 'subsample': 0.7, 'min_child_weight': 10, 'gamma': 0.4, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "---------- ----------\n", "Grid search run 21/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.3, 'colsample_bylevel': 0.3, 'eta': 0.5, 'max_depth': 3, 'reg_alpha': 0.005, 'reg_lambda': 0.005, 'subsample': 0.7, 'min_child_weight': 1, 'gamma': 0.1, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", @@ -666,25 +752,25 @@ "---------- ----------\n", "Grid search run 36/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.9, 'eta': 0.5, 'max_depth': 7, 'reg_alpha': 0.0005, 'reg_lambda': 0.005, 'subsample': 0.7, 'min_child_weight': 10, 'gamma': 0.4, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", - "Grid search new best score discovered at iteration 36/50: 0.7919.\n", "---------- ----------\n", "Grid search run 37/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.9, 'eta': 0.05, 'max_depth': 5, 'reg_alpha': 0.05, 'reg_lambda': 0.005, 'subsample': 0.7, 'min_child_weight': 5, 'gamma': 0.0, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", + "Grid search new best score discovered at iteration 37/50: 0.7917.\n", "---------- ----------\n", "Grid search run 38/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.7, 'colsample_bylevel': 0.3, 'eta': 0.5, 'max_depth': 5, 'reg_alpha': 0.05, 'reg_lambda': 0.05, 'subsample': 0.5, 'min_child_weight': 5, 'gamma': 0.3, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", "---------- ----------\n", - "Grid search run 39/50:\n" + "Grid search run 39/50:\n", + "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.5, 'eta': 0.05, 'max_depth': 3, 'reg_alpha': 0.0005, 'reg_lambda': 0.0005, 'subsample': 0.3, 'min_child_weight': 5, 'gamma': 0.1, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", + "---------- ----------\n", + "Grid search run 40/50:\n", + "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.7, 'eta': 0.5, 'max_depth': 3, 'reg_alpha': 0.0005, 'reg_lambda': 0.05, 'subsample': 0.3, 'min_child_weight': 1, 'gamma': 0.3, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.5, 'eta': 0.05, 'max_depth': 3, 'reg_alpha': 0.0005, 'reg_lambda': 0.0005, 'subsample': 0.3, 'min_child_weight': 5, 'gamma': 0.1, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", - "---------- ----------\n", - "Grid search run 40/50:\n", - "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.7, 'eta': 0.5, 'max_depth': 3, 'reg_alpha': 0.0005, 'reg_lambda': 0.05, 'subsample': 0.3, 'min_child_weight': 1, 'gamma': 0.3, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", "---------- ----------\n", "Grid search run 41/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.5, 'colsample_bylevel': 0.9, 'eta': 0.5, 'max_depth': 7, 'reg_alpha': 0.0005, 'reg_lambda': 0.05, 'subsample': 0.3, 'min_child_weight': 10, 'gamma': 0.4, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", @@ -709,7 +795,6 @@ "---------- ----------\n", "Grid search run 48/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.9, 'colsample_bylevel': 0.7, 'eta': 0.5, 'max_depth': 7, 'reg_alpha': 0.05, 'reg_lambda': 0.0005, 'subsample': 0.7, 'min_child_weight': 10, 'gamma': 0.2, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", - "Grid search new best score discovered at iteration 48/50: 0.7919.\n", "---------- ----------\n", "Grid search run 49/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.3, 'colsample_bylevel': 0.3, 'eta': 0.005, 'max_depth': 3, 'reg_alpha': 0.005, 'reg_lambda': 0.005, 'subsample': 0.7, 'min_child_weight': 5, 'gamma': 0.4, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", @@ -717,7 +802,7 @@ "Grid search run 50/50:\n", "Training with parameters: {'booster': 'gbtree', 'eval_metric': 'auc', 'nthread': 4, 'objective': 'binary:logistic', 'seed': 12345, 'colsample_bytree': 0.7, 'colsample_bylevel': 0.9, 'eta': 0.005, 'max_depth': 5, 'reg_alpha': 0.005, 'reg_lambda': 0.05, 'subsample': 0.7, 'min_child_weight': 5, 'gamma': 0.0, 'monotone_constraints': (1, 1, 1, -1, 1, 1, -1, -1, -1, 1)}\n", "---------- ----------\n", - "Monotonic GBM training completed in 497.13 s.\n" + "Monotonic GBM training completed in 1896.51 s.\n" ] } ], @@ -754,6 +839,7 @@ }, { "cell_type": "markdown", + "id": "7013ac8f", "metadata": {}, "source": [ "#### Basic AUC assessment" @@ -762,13 +848,14 @@ { "cell_type": "code", "execution_count": 14, + "id": "edf73afa", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Validation AUC: 0.7919.\n" + "Validation AUC: 0.7917.\n" ] } ], @@ -778,6 +865,7 @@ }, { "cell_type": "markdown", + "id": "63fb0121", "metadata": {}, "source": [ "#### Write submission file" @@ -786,6 +874,7 @@ { "cell_type": "code", "execution_count": 15, + "id": "17e55109", "metadata": {}, "outputs": [], "source": [ @@ -797,6 +886,7 @@ }, { "cell_type": "markdown", + "id": "cbb361b6", "metadata": {}, "source": [ "### Explainable Boosting Machine" @@ -804,6 +894,7 @@ }, { "cell_type": "markdown", + "id": "10bc93c8", "metadata": {}, "source": [ "#### Define utility function for random grid search" @@ -812,6 +903,7 @@ { "cell_type": "code", "execution_count": 16, + "id": "cc438778", "metadata": {}, "outputs": [], "source": [ @@ -882,6 +974,7 @@ }, { "cell_type": "markdown", + "id": "ff6b25a3", "metadata": {}, "source": [ "#### Fit EBM with random grid search" @@ -890,8 +983,9 @@ { "cell_type": "code", "execution_count": 17, + "id": "20144710", "metadata": { - "scrolled": true + "scrolled": false }, "outputs": [ { @@ -930,7 +1024,7 @@ "Grid search run 10/10:\n", "Training with parameters: {'n_jobs': 4, 'early_stopping_rounds': 100, 'random_state': 12345, 'max_bins': 512, 'max_interaction_bins': 64, 'interactions': 5, 'outer_bags': 4, 'inner_bags': 0, 'learning_rate': 0.001, 'validation_size': 0.25, 'min_samples_leaf': 2, 'max_leaves': 3}\n", "---------- ----------\n", - "EBM training completed in 557.38 s.\n" + "EBM training completed in 709.28 s.\n" ] } ], @@ -960,6 +1054,7 @@ }, { "cell_type": "markdown", + "id": "080474e6", "metadata": {}, "source": [ "#### Basic AUC assessment" @@ -968,6 +1063,7 @@ { "cell_type": "code", "execution_count": 18, + "id": "9b172b45", "metadata": {}, "outputs": [ { @@ -985,6 +1081,7 @@ }, { "cell_type": "markdown", + "id": "f57ef7d4", "metadata": {}, "source": [ "#### Write submission file" @@ -993,6 +1090,7 @@ { "cell_type": "code", "execution_count": 19, + "id": "9fc047f4", "metadata": {}, "outputs": [], "source": [ @@ -1003,6 +1101,7 @@ }, { "cell_type": "markdown", + "id": "e3a1c0f4", "metadata": {}, "source": [ "#### End timer" @@ -1011,13 +1110,14 @@ { "cell_type": "code", "execution_count": 20, + "id": "3af5962a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "All tasks completed in 1504.95 s.\n" + "All tasks completed in 2639.71 s.\n" ] } ], @@ -1028,6 +1128,7 @@ }, { "cell_type": "markdown", + "id": "3829438c", "metadata": {}, "source": [ "#### Shutdown h2o" @@ -1036,13 +1137,14 @@ { "cell_type": "code", "execution_count": 21, + "id": "354d35be", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "H2O session _sid_b3dd closed.\n" + "H2O session _sid_b254 closed.\n" ] } ], @@ -1053,7 +1155,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1067,7 +1169,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" } }, "nbformat": 4, diff --git a/assignments/eval.ipynb b/assignments/eval.ipynb index 9a5b9c6..c0d162e 100644 --- a/assignments/eval.ipynb +++ b/assignments/eval.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "f7efc033", "metadata": {}, "source": [ "## License \n", @@ -25,6 +26,7 @@ }, { "cell_type": "markdown", + "id": "aab60b41", "metadata": {}, "source": [ "# Model Evaluation Notebook" @@ -32,6 +34,7 @@ }, { "cell_type": "markdown", + "id": "281af306", "metadata": {}, "source": [ "#### Imports and inits" @@ -40,6 +43,7 @@ { "cell_type": "code", "execution_count": 1, + "id": "fd180587", "metadata": {}, "outputs": [], "source": [ @@ -61,6 +65,7 @@ }, { "cell_type": "markdown", + "id": "eb2a39d4", "metadata": {}, "source": [ "#### Set basic metadata" @@ -69,6 +74,7 @@ { "cell_type": "code", "execution_count": 2, + "id": "98f640ed", "metadata": {}, "outputs": [], "source": [ @@ -78,6 +84,7 @@ }, { "cell_type": "markdown", + "id": "cc8d83d0", "metadata": {}, "source": [ "#### Read in score files " @@ -86,6 +93,7 @@ { "cell_type": "code", "execution_count": 3, + "id": "355c2b81", "metadata": {}, "outputs": [ { @@ -111,25 +119,25 @@ " \n", " high_priced\n", " fold\n", - " group5_mxgb\n", - " group2_mxgb\n", - " group5_ebm\n", - " group6_mxgb\n", - " group8_mxgb\n", - " ph_mxgb\n", - " group7_piml_ebm\n", - " group2_ebm\n", + " group1_ebm\n", + " group1_glm\n", + " group1_mxgb\n", + " group2_piml_EBM\n", + " group2_piml_XGB2\n", + " group2_piml_reludnn\n", + " group3_piml_EBM\n", + " group3_piml_GAM\n", " ...\n", - " group2_glm\n", - " group3_mxgb\n", - " group7_mxgb2\n", - " group6_piml_gaminet\n", + " group5_xgb2\n", + " group8_piml_ebm\n", + " group8_piml_gam\n", + " group8_piml_reludnn\n", " group9_ebm\n", - " group6_glm\n", " group9_glm\n", - " group8_glm\n", - " group3_glm\n", + " group9_mxgb\n", " ph_ebm\n", + " ph_glm\n", + " ph_mxgb\n", " \n", " \n", " \n", @@ -137,121 +145,121 @@ " 0\n", " 0.0\n", " 2\n", - " 0.059530\n", - " 0.086361\n", - " 0.081364\n", - " 0.086361\n", - " 0.078233\n", - " 0.059522\n", - " 0.074151\n", - " 0.081364\n", - " ...\n", + " 0.080557\n", " 0.142090\n", " 0.059522\n", - " 0.080985\n", - " 0.034641\n", - " 0.081364\n", - " 0.142090\n", - " 0.142090\n", + " 0.060440\n", + " 0.058846\n", + " 0.054570\n", + " 0.079611\n", + " 0.109994\n", + " ...\n", + " 0.077672\n", + " 0.073114\n", + " 0.066971\n", + " 0.066971\n", + " 0.080557\n", " 0.142090\n", + " 0.086361\n", + " 0.080557\n", " 0.142090\n", - " 0.082841\n", + " 0.071625\n", " \n", " \n", " 1\n", " 0.0\n", " 1\n", - " 0.036380\n", - " 0.033920\n", - " 0.026177\n", - " 0.033920\n", - " 0.022467\n", - " 0.036210\n", - " 0.031165\n", - " 0.026177\n", - " ...\n", + " 0.026001\n", " 0.081674\n", " 0.036210\n", - " 0.033100\n", - " 0.032192\n", - " 0.026177\n", - " 0.081674\n", - " 0.081674\n", + " 0.030870\n", + " 0.030136\n", + " 0.032199\n", + " 0.030699\n", + " 0.050429\n", + " ...\n", + " 0.035456\n", + " 0.029787\n", + " 0.034471\n", + " 0.034471\n", + " 0.026001\n", " 0.081674\n", + " 0.033920\n", + " 0.026001\n", " 0.081674\n", - " 0.027079\n", + " 0.036750\n", " \n", " \n", " 2\n", " 1.0\n", " 4\n", - " 0.180033\n", - " 0.183323\n", - " 0.184662\n", - " 0.183323\n", - " 0.179896\n", - " 0.180734\n", - " 0.182987\n", - " 0.184662\n", - " ...\n", + " 0.194961\n", " 0.125823\n", " 0.180734\n", - " 0.177759\n", - " 0.257928\n", - " 0.184662\n", - " 0.125823\n", - " 0.125823\n", + " 0.184039\n", + " 0.185935\n", + " 0.200142\n", + " 0.185728\n", + " 0.166834\n", + " ...\n", + " 0.198679\n", + " 0.178312\n", + " 0.183367\n", + " 0.183367\n", + " 0.194961\n", " 0.125823\n", + " 0.183323\n", + " 0.194961\n", " 0.125823\n", - " 0.190718\n", + " 0.168644\n", " \n", " \n", " 3\n", " 0.0\n", " 1\n", - " 0.027747\n", - " 0.030934\n", - " 0.030049\n", - " 0.030934\n", - " 0.010161\n", - " 0.027677\n", - " 0.018368\n", - " 0.030049\n", - " ...\n", + " 0.028556\n", " 0.006973\n", " 0.027677\n", - " 0.023707\n", - " 0.000700\n", - " 0.030049\n", - " 0.006973\n", - " 0.006973\n", + " 0.023568\n", + " 0.024420\n", + " 0.012645\n", + " 0.025441\n", + " 0.020917\n", + " ...\n", + " 0.019302\n", + " 0.019792\n", + " 0.014284\n", + " 0.014284\n", + " 0.028556\n", " 0.006973\n", + " 0.030934\n", + " 0.028556\n", " 0.006973\n", - " 0.031069\n", + " 0.029126\n", " \n", " \n", " 4\n", " 1.0\n", " 2\n", - " 0.178084\n", - " 0.178491\n", - " 0.205948\n", - " 0.178491\n", - " 0.214328\n", - " 0.177813\n", - " 0.188477\n", - " 0.205948\n", - " ...\n", + " 0.208263\n", " 0.130426\n", " 0.177813\n", - " 0.210616\n", - " 0.124897\n", - " 0.205948\n", - " 0.130426\n", - " 0.130426\n", + " 0.203001\n", + " 0.203261\n", + " 0.177770\n", + " 0.197092\n", + " 0.167265\n", + " ...\n", + " 0.196543\n", + " 0.182424\n", + " 0.177948\n", + " 0.177948\n", + " 0.208263\n", " 0.130426\n", + " 0.178491\n", + " 0.208263\n", " 0.130426\n", - " 0.210361\n", + " 0.179502\n", " \n", " \n", " ...\n", @@ -281,181 +289,194 @@ " 19826\n", " 0.0\n", " 3\n", - " 0.275183\n", - " 0.255826\n", - " 0.227771\n", - " 0.255826\n", - " 0.236099\n", - " 0.274767\n", - " 0.203201\n", - " 0.227771\n", - " ...\n", + " 0.228342\n", " 0.160032\n", " 0.274767\n", - " 0.257779\n", - " 0.218879\n", - " 0.227771\n", - " 0.160032\n", - " 0.160032\n", + " 0.228772\n", + " 0.206548\n", + " 0.243380\n", + " 0.207749\n", + " 0.214998\n", + " ...\n", + " 0.232284\n", + " 0.201933\n", + " 0.254153\n", + " 0.254153\n", + " 0.228342\n", " 0.160032\n", + " 0.255826\n", + " 0.228342\n", " 0.160032\n", - " 0.231624\n", + " 0.261347\n", " \n", " \n", " 19827\n", " 0.0\n", " 1\n", - " 0.182247\n", - " 0.176984\n", - " 0.253325\n", - " 0.176984\n", - " 0.255476\n", - " 0.182039\n", - " 0.207900\n", - " 0.253325\n", - " ...\n", + " 0.253998\n", " 0.123836\n", " 0.182039\n", - " 0.252247\n", - " 0.145454\n", - " 0.253325\n", - " 0.123836\n", - " 0.123836\n", + " 0.218112\n", + " 0.199714\n", + " 0.164194\n", + " 0.237054\n", + " 0.138583\n", + " ...\n", + " 0.236322\n", + " 0.212543\n", + " 0.167147\n", + " 0.167147\n", + " 0.253998\n", " 0.123836\n", + " 0.176984\n", + " 0.253998\n", " 0.123836\n", - " 0.254823\n", + " 0.185477\n", " \n", " \n", " 19828\n", " 1.0\n", " 3\n", - " 0.212705\n", - " 0.236894\n", - " 0.225811\n", - " 0.236894\n", - " 0.224857\n", - " 0.212740\n", - " 0.215871\n", - " 0.225811\n", - " ...\n", + " 0.213364\n", " 0.169604\n", " 0.212740\n", - " 0.204329\n", - " 0.062602\n", - " 0.225811\n", - " 0.169604\n", - " 0.169604\n", + " 0.212545\n", + " 0.211904\n", + " 0.227022\n", + " 0.252599\n", + " 0.232105\n", + " ...\n", + " 0.202498\n", + " 0.212675\n", + " 0.230183\n", + " 0.230183\n", + " 0.213364\n", " 0.169604\n", + " 0.236894\n", + " 0.213364\n", " 0.169604\n", - " 0.220400\n", + " 0.224887\n", " \n", " \n", " 19829\n", " 0.0\n", " 1\n", - " 0.001348\n", - " 0.001113\n", - " 0.001488\n", - " 0.001113\n", - " 0.001779\n", - " 0.001323\n", - " 0.007910\n", - " 0.001488\n", - " ...\n", + " 0.002176\n", " 0.002538\n", " 0.001323\n", - " 0.000406\n", - " 0.000042\n", - " 0.001488\n", - " 0.002538\n", - " 0.002538\n", + " 0.005655\n", + " 0.012688\n", + " 0.000296\n", + " 0.003545\n", + " 0.004071\n", + " ...\n", + " 0.015741\n", + " 0.007463\n", + " 0.001132\n", + " 0.001132\n", + " 0.002176\n", " 0.002538\n", + " 0.001113\n", + " 0.002176\n", " 0.002538\n", - " 0.000993\n", + " 0.000985\n", " \n", " \n", " 19830\n", " 0.0\n", " 0\n", - " 0.259751\n", - " 0.233696\n", - " 0.207258\n", - " 0.233696\n", - " 0.185213\n", - " 0.259442\n", - " 0.194421\n", - " 0.207258\n", - " ...\n", + " 0.185484\n", " 0.156659\n", " 0.259442\n", - " 0.195232\n", - " 0.212237\n", - " 0.207258\n", - " 0.156659\n", - " 0.156659\n", + " 0.180441\n", + " 0.202463\n", + " 0.232861\n", + " 0.188571\n", + " 0.206704\n", + " ...\n", + " 0.212357\n", + " 0.192640\n", + " 0.246474\n", + " 0.246474\n", + " 0.185484\n", " 0.156659\n", + " 0.233696\n", + " 0.185484\n", " 0.156659\n", - " 0.222328\n", + " 0.256520\n", " \n", " \n", "\n", - "

19831 rows × 36 columns

\n", + "

19831 rows × 23 columns

\n", "" ], "text/plain": [ - " high_priced fold group5_mxgb group2_mxgb group5_ebm group6_mxgb \\\n", - "0 0.0 2 0.059530 0.086361 0.081364 0.086361 \n", - "1 0.0 1 0.036380 0.033920 0.026177 0.033920 \n", - "2 1.0 4 0.180033 0.183323 0.184662 0.183323 \n", - "3 0.0 1 0.027747 0.030934 0.030049 0.030934 \n", - "4 1.0 2 0.178084 0.178491 0.205948 0.178491 \n", - "... ... ... ... ... ... ... \n", - "19826 0.0 3 0.275183 0.255826 0.227771 0.255826 \n", - "19827 0.0 1 0.182247 0.176984 0.253325 0.176984 \n", - "19828 1.0 3 0.212705 0.236894 0.225811 0.236894 \n", - "19829 0.0 1 0.001348 0.001113 0.001488 0.001113 \n", - "19830 0.0 0 0.259751 0.233696 0.207258 0.233696 \n", + " high_priced fold group1_ebm group1_glm group1_mxgb \\\n", + "0 0.0 2 0.080557 0.142090 0.059522 \n", + "1 0.0 1 0.026001 0.081674 0.036210 \n", + "2 1.0 4 0.194961 0.125823 0.180734 \n", + "3 0.0 1 0.028556 0.006973 0.027677 \n", + "4 1.0 2 0.208263 0.130426 0.177813 \n", + "... ... ... ... ... ... \n", + "19826 0.0 3 0.228342 0.160032 0.274767 \n", + "19827 0.0 1 0.253998 0.123836 0.182039 \n", + "19828 1.0 3 0.213364 0.169604 0.212740 \n", + "19829 0.0 1 0.002176 0.002538 0.001323 \n", + "19830 0.0 0 0.185484 0.156659 0.259442 \n", + "\n", + " group2_piml_EBM group2_piml_XGB2 group2_piml_reludnn \\\n", + "0 0.060440 0.058846 0.054570 \n", + "1 0.030870 0.030136 0.032199 \n", + "2 0.184039 0.185935 0.200142 \n", + "3 0.023568 0.024420 0.012645 \n", + "4 0.203001 0.203261 0.177770 \n", + "... ... ... ... \n", + "19826 0.228772 0.206548 0.243380 \n", + "19827 0.218112 0.199714 0.164194 \n", + "19828 0.212545 0.211904 0.227022 \n", + "19829 0.005655 0.012688 0.000296 \n", + "19830 0.180441 0.202463 0.232861 \n", "\n", - " group8_mxgb ph_mxgb group7_piml_ebm group2_ebm ... group2_glm \\\n", - "0 0.078233 0.059522 0.074151 0.081364 ... 0.142090 \n", - "1 0.022467 0.036210 0.031165 0.026177 ... 0.081674 \n", - "2 0.179896 0.180734 0.182987 0.184662 ... 0.125823 \n", - "3 0.010161 0.027677 0.018368 0.030049 ... 0.006973 \n", - "4 0.214328 0.177813 0.188477 0.205948 ... 0.130426 \n", - "... ... ... ... ... ... ... \n", - "19826 0.236099 0.274767 0.203201 0.227771 ... 0.160032 \n", - "19827 0.255476 0.182039 0.207900 0.253325 ... 0.123836 \n", - "19828 0.224857 0.212740 0.215871 0.225811 ... 0.169604 \n", - "19829 0.001779 0.001323 0.007910 0.001488 ... 0.002538 \n", - "19830 0.185213 0.259442 0.194421 0.207258 ... 0.156659 \n", + " group3_piml_EBM group3_piml_GAM ... group5_xgb2 group8_piml_ebm \\\n", + "0 0.079611 0.109994 ... 0.077672 0.073114 \n", + "1 0.030699 0.050429 ... 0.035456 0.029787 \n", + "2 0.185728 0.166834 ... 0.198679 0.178312 \n", + "3 0.025441 0.020917 ... 0.019302 0.019792 \n", + "4 0.197092 0.167265 ... 0.196543 0.182424 \n", + "... ... ... ... ... ... \n", + "19826 0.207749 0.214998 ... 0.232284 0.201933 \n", + "19827 0.237054 0.138583 ... 0.236322 0.212543 \n", + "19828 0.252599 0.232105 ... 0.202498 0.212675 \n", + "19829 0.003545 0.004071 ... 0.015741 0.007463 \n", + "19830 0.188571 0.206704 ... 0.212357 0.192640 \n", "\n", - " group3_mxgb group7_mxgb2 group6_piml_gaminet group9_ebm group6_glm \\\n", - "0 0.059522 0.080985 0.034641 0.081364 0.142090 \n", - "1 0.036210 0.033100 0.032192 0.026177 0.081674 \n", - "2 0.180734 0.177759 0.257928 0.184662 0.125823 \n", - "3 0.027677 0.023707 0.000700 0.030049 0.006973 \n", - "4 0.177813 0.210616 0.124897 0.205948 0.130426 \n", - "... ... ... ... ... ... \n", - "19826 0.274767 0.257779 0.218879 0.227771 0.160032 \n", - "19827 0.182039 0.252247 0.145454 0.253325 0.123836 \n", - "19828 0.212740 0.204329 0.062602 0.225811 0.169604 \n", - "19829 0.001323 0.000406 0.000042 0.001488 0.002538 \n", - "19830 0.259442 0.195232 0.212237 0.207258 0.156659 \n", + " group8_piml_gam group8_piml_reludnn group9_ebm group9_glm \\\n", + "0 0.066971 0.066971 0.080557 0.142090 \n", + "1 0.034471 0.034471 0.026001 0.081674 \n", + "2 0.183367 0.183367 0.194961 0.125823 \n", + "3 0.014284 0.014284 0.028556 0.006973 \n", + "4 0.177948 0.177948 0.208263 0.130426 \n", + "... ... ... ... ... \n", + "19826 0.254153 0.254153 0.228342 0.160032 \n", + "19827 0.167147 0.167147 0.253998 0.123836 \n", + "19828 0.230183 0.230183 0.213364 0.169604 \n", + "19829 0.001132 0.001132 0.002176 0.002538 \n", + "19830 0.246474 0.246474 0.185484 0.156659 \n", "\n", - " group9_glm group8_glm group3_glm ph_ebm \n", - "0 0.142090 0.142090 0.142090 0.082841 \n", - "1 0.081674 0.081674 0.081674 0.027079 \n", - "2 0.125823 0.125823 0.125823 0.190718 \n", - "3 0.006973 0.006973 0.006973 0.031069 \n", - "4 0.130426 0.130426 0.130426 0.210361 \n", - "... ... ... ... ... \n", - "19826 0.160032 0.160032 0.160032 0.231624 \n", - "19827 0.123836 0.123836 0.123836 0.254823 \n", - "19828 0.169604 0.169604 0.169604 0.220400 \n", - "19829 0.002538 0.002538 0.002538 0.000993 \n", - "19830 0.156659 0.156659 0.156659 0.222328 \n", + " group9_mxgb ph_ebm ph_glm ph_mxgb \n", + "0 0.086361 0.080557 0.142090 0.071625 \n", + "1 0.033920 0.026001 0.081674 0.036750 \n", + "2 0.183323 0.194961 0.125823 0.168644 \n", + "3 0.030934 0.028556 0.006973 0.029126 \n", + "4 0.178491 0.208263 0.130426 0.179502 \n", + "... ... ... ... ... \n", + "19826 0.255826 0.228342 0.160032 0.261347 \n", + "19827 0.176984 0.253998 0.123836 0.185477 \n", + "19828 0.236894 0.213364 0.169604 0.224887 \n", + "19829 0.001113 0.002176 0.002538 0.000985 \n", + "19830 0.233696 0.185484 0.156659 0.256520 \n", "\n", - "[19831 rows x 36 columns]" + "[19831 rows x 23 columns]" ] }, "execution_count": 3, @@ -472,7 +493,7 @@ "scores_frame['fold'] = np.random.choice(5, scores_frame.shape[0])\n", "\n", "# read in each score file in the directory as a new column \n", - "for file in os.listdir(scores_dir):\n", + "for file in sorted(os.listdir(scores_dir)):\n", " if file != 'key.csv' and file.endswith('.csv'):\n", " scores_frame[file[:-4]] = pd.read_csv(scores_dir + os.sep + file)['phat']\n", "\n", @@ -482,6 +503,7 @@ }, { "cell_type": "markdown", + "id": "3e3cccda", "metadata": {}, "source": [ "#### Utility function for max. accuracy" @@ -490,6 +512,7 @@ { "cell_type": "code", "execution_count": 4, + "id": "2eb43506", "metadata": {}, "outputs": [], "source": [ @@ -529,6 +552,7 @@ }, { "cell_type": "markdown", + "id": "b02c9651", "metadata": {}, "source": [ "#### Utility function for max. F1" @@ -537,6 +561,7 @@ { "cell_type": "code", "execution_count": 5, + "id": "fae3756b", "metadata": {}, "outputs": [], "source": [ @@ -576,6 +601,7 @@ }, { "cell_type": "markdown", + "id": "b447b732", "metadata": {}, "source": [ "#### Rank all submitted scores " @@ -584,8 +610,183 @@ { "cell_type": "code", "execution_count": 6, + "id": "40fbe608", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Empty DataFrame\n", + "Columns: [group1_ebm_rank, group1_glm_rank, group1_mxgb_rank, group2_piml_EBM_rank, group2_piml_XGB2_rank, group2_piml_reludnn_rank, group3_piml_EBM_rank, group3_piml_GAM_rank, group3_piml_XGB_rank, group5_gaminet_rank, group5_reludnn_rank, group5_xgb2_rank, group8_piml_ebm_rank, group8_piml_gam_rank, group8_piml_reludnn_rank, group9_ebm_rank, group9_glm_rank, group9_mxgb_rank, ph_ebm_rank, ph_glm_rank, ph_mxgb_rank]\n", + "Index: []\n", + "\n", + "[0 rows x 21 columns]\n", + " group1_ebm_rank group1_glm_rank group1_mxgb_rank group2_piml_EBM_rank \\\n", + "0 9.0 17.5 2.5 9.0 \n", + "1 2.0 20.0 15.5 6.5 \n", + "2 2.0 20.0 12.0 7.5 \n", + "3 2.5 20.0 15.0 7.0 \n", + "4 5.0 20.0 13.0 5.0 \n", + "5 11.0 11.0 11.0 11.0 \n", + "6 2.5 20.0 16.0 5.5 \n", + "7 4.0 20.0 16.5 1.5 \n", + "8 2.0 20.0 16.5 4.5 \n", + "9 2.5 20.0 15.5 7.0 \n", + "10 14.0 14.0 14.0 4.5 \n", + "11 6.0 20.0 16.5 2.5 \n", + "12 6.0 20.0 17.0 8.0 \n", + "13 7.5 20.0 16.0 3.5 \n", + "14 5.5 20.0 16.0 5.5 \n", + "15 14.5 14.5 14.5 14.5 \n", + "16 3.5 20.0 16.0 3.5 \n", + "17 2.0 20.0 15.0 5.0 \n", + "18 6.0 20.0 16.0 1.5 \n", + "19 5.0 20.0 16.0 5.0 \n", + "20 7.0 18.5 12.5 1.0 \n", + "21 2.0 20.0 16.0 4.5 \n", + "22 5.0 20.0 16.0 1.0 \n", + "23 2.0 20.0 15.0 4.5 \n", + "24 5.0 20.0 12.5 5.0 \n", + "\n", + " group2_piml_XGB2_rank group2_piml_reludnn_rank group3_piml_EBM_rank \\\n", + "0 17.5 17.5 2.5 \n", + "1 4.5 11.0 4.5 \n", + "2 9.0 17.0 4.0 \n", + "3 7.0 11.0 2.5 \n", + "4 5.0 13.0 5.0 \n", + "5 11.0 11.0 11.0 \n", + "6 5.5 13.0 2.5 \n", + "7 6.5 14.0 1.5 \n", + "8 6.0 11.5 4.5 \n", + "9 7.0 11.5 2.5 \n", + "10 1.5 4.5 4.5 \n", + "11 2.5 10.0 6.0 \n", + "12 3.0 14.5 9.0 \n", + "13 3.5 10.0 3.5 \n", + "14 5.5 11.0 5.5 \n", + "15 4.0 4.0 4.0 \n", + "16 7.5 11.0 3.5 \n", + "17 9.0 10.0 5.0 \n", + "18 6.0 10.5 1.5 \n", + "19 5.0 11.5 5.0 \n", + "20 7.0 12.5 3.0 \n", + "21 7.5 13.0 4.5 \n", + "22 2.5 14.0 2.5 \n", + "23 6.5 13.0 4.5 \n", + "24 5.0 12.5 5.0 \n", + "\n", + " group3_piml_GAM_rank group3_piml_XGB_rank group5_gaminet_rank ... \\\n", + "0 17.5 9.0 17.5 ... \n", + "1 18.0 8.5 14.0 ... \n", + "2 18.0 6.0 10.0 ... \n", + "3 18.0 7.0 17.0 ... \n", + "4 18.0 5.0 17.0 ... \n", + "5 11.0 11.0 11.0 ... \n", + "6 18.0 7.0 10.0 ... \n", + "7 18.0 9.0 10.0 ... \n", + "8 18.0 8.0 14.0 ... \n", + "9 18.0 7.0 15.5 ... \n", + "10 14.0 4.5 14.0 ... \n", + "11 18.0 6.0 11.0 ... \n", + "12 18.0 4.0 10.0 ... \n", + "13 18.0 3.5 14.0 ... \n", + "14 18.0 5.5 13.5 ... \n", + "15 14.5 14.5 14.5 ... \n", + "16 18.0 9.0 14.0 ... \n", + "17 18.0 5.0 11.0 ... \n", + "18 18.0 6.0 14.0 ... \n", + "19 16.0 5.0 16.0 ... \n", + "20 18.5 3.0 18.5 ... \n", + "21 18.0 7.5 14.0 ... \n", + "22 18.0 9.0 12.0 ... \n", + "23 18.0 8.5 15.0 ... \n", + "24 18.0 5.0 16.5 ... \n", + "\n", + " group5_xgb2_rank group8_piml_ebm_rank group8_piml_gam_rank \\\n", + "0 9.0 9.0 9.0 \n", + "1 6.5 8.5 11.0 \n", + "2 7.5 5.0 15.0 \n", + "3 7.0 7.0 11.0 \n", + "4 5.0 5.0 13.0 \n", + "5 11.0 11.0 11.0 \n", + "6 8.5 8.5 13.0 \n", + "7 6.5 8.0 14.0 \n", + "8 8.0 8.0 11.5 \n", + "9 7.0 7.0 11.5 \n", + "10 1.5 14.0 14.0 \n", + "11 1.0 9.0 12.5 \n", + "12 1.0 2.0 11.5 \n", + "13 1.0 7.5 12.0 \n", + "14 1.0 5.5 11.0 \n", + "15 4.0 14.5 4.0 \n", + "16 7.5 3.5 12.5 \n", + "17 8.0 7.0 15.0 \n", + "18 6.0 6.0 12.5 \n", + "19 5.0 5.0 11.5 \n", + "20 3.0 7.0 12.5 \n", + "21 6.0 9.0 11.5 \n", + "22 7.5 7.5 12.0 \n", + "23 6.5 8.5 11.0 \n", + "24 5.0 5.0 12.5 \n", + "\n", + " group8_piml_reludnn_rank group9_ebm_rank group9_glm_rank \\\n", + "0 9.0 9.0 17.5 \n", + "1 11.0 2.0 20.0 \n", + "2 15.0 2.0 20.0 \n", + "3 11.0 2.5 20.0 \n", + "4 13.0 5.0 20.0 \n", + "5 11.0 11.0 11.0 \n", + "6 13.0 2.5 20.0 \n", + "7 14.0 4.0 20.0 \n", + "8 11.5 2.0 20.0 \n", + "9 11.5 2.5 20.0 \n", + "10 14.0 14.0 14.0 \n", + "11 12.5 6.0 20.0 \n", + "12 11.5 6.0 20.0 \n", + "13 12.0 7.5 20.0 \n", + "14 11.0 5.5 20.0 \n", + "15 4.0 14.5 14.5 \n", + "16 12.5 3.5 20.0 \n", + "17 15.0 2.0 20.0 \n", + "18 12.5 6.0 20.0 \n", + "19 11.5 5.0 20.0 \n", + "20 12.5 7.0 18.5 \n", + "21 11.5 2.0 20.0 \n", + "22 12.0 5.0 20.0 \n", + "23 11.0 2.0 20.0 \n", + "24 12.5 5.0 20.0 \n", + "\n", + " group9_mxgb_rank ph_ebm_rank ph_glm_rank ph_mxgb_rank \n", + "0 2.5 9.0 17.5 2.5 \n", + "1 17.0 2.0 20.0 15.5 \n", + "2 15.0 2.0 20.0 11.0 \n", + "3 15.0 2.5 20.0 15.0 \n", + "4 13.0 5.0 20.0 13.0 \n", + "5 11.0 11.0 11.0 11.0 \n", + "6 16.0 2.5 20.0 16.0 \n", + "7 12.0 4.0 20.0 16.5 \n", + "8 16.5 2.0 20.0 15.0 \n", + "9 15.5 2.5 20.0 15.5 \n", + "10 14.0 14.0 14.0 14.0 \n", + "11 15.0 6.0 20.0 16.5 \n", + "12 13.0 6.0 20.0 14.5 \n", + "13 16.0 7.5 20.0 16.0 \n", + "14 16.0 5.5 20.0 16.0 \n", + "15 14.5 14.5 14.5 14.5 \n", + "16 16.0 3.5 20.0 16.0 \n", + "17 12.0 2.0 20.0 17.0 \n", + "18 16.0 6.0 20.0 16.0 \n", + "19 16.0 5.0 20.0 16.0 \n", + "20 18.5 7.0 18.5 12.5 \n", + "21 17.0 2.0 20.0 15.0 \n", + "22 17.0 5.0 20.0 15.0 \n", + "23 17.0 2.0 20.0 15.0 \n", + "24 16.5 5.0 20.0 12.5 \n", + "\n", + "[25 rows x 21 columns]\n" + ] + }, { "data": { "text/html": [ @@ -612,16 +813,16 @@ " group1_ebm\n", " group1_glm\n", " group1_mxgb\n", - " group2_ebm\n", - " group2_glm\n", - " group2_mxgb\n", - " group3_ebm\n", - " group3_glm\n", + " group2_piml_EBM\n", + " group2_piml_XGB2\n", + " group2_piml_reludnn\n", + " group3_piml_EBM\n", + " group3_piml_GAM\n", " ...\n", - " group7_piml_reludnn_rank\n", - " group8_ebm_rank\n", - " group8_glm_rank\n", - " group8_mxgb_rank\n", + " group5_xgb2_rank\n", + " group8_piml_ebm_rank\n", + " group8_piml_gam_rank\n", + " group8_piml_reludnn_rank\n", " group9_ebm_rank\n", " group9_glm_rank\n", " group9_mxgb_rank\n", @@ -640,68 +841,68 @@ " 0.902\n", " 0.901\n", " 0.900\n", + " 0.900\n", " 0.902\n", - " 0.901\n", " 0.900\n", " ...\n", - " 16.0\n", - " 16.0\n", - " 28.5\n", - " 16.0\n", - " 16.0\n", - " 28.5\n", - " 5.0\n", - " 16.0\n", - " 28.5\n", - " 5.0\n", + " 9.0\n", + " 9.0\n", + " 9.0\n", + " 9.0\n", + " 9.0\n", + " 17.5\n", + " 2.5\n", + " 9.0\n", + " 17.5\n", + " 2.5\n", " \n", " \n", " 1\n", " 0.0\n", " auc\n", - " 0.839\n", - " 0.775\n", - " 0.812\n", - " 0.839\n", - " 0.775\n", - " 0.813\n", - " 0.839\n", + " 0.840\n", " 0.775\n", + " 0.814\n", + " 0.836\n", + " 0.837\n", + " 0.822\n", + " 0.837\n", + " 0.805\n", " ...\n", - " 14.0\n", - " 6.0\n", - " 30.0\n", - " 1.0\n", - " 6.0\n", - " 30.0\n", - " 18.0\n", - " 6.0\n", - " 30.0\n", - " 18.0\n", + " 6.5\n", + " 8.5\n", + " 11.0\n", + " 11.0\n", + " 2.0\n", + " 20.0\n", + " 17.0\n", + " 2.0\n", + " 20.0\n", + " 15.5\n", " \n", " \n", " 2\n", " 0.0\n", " f1\n", - " 0.404\n", - " 0.335\n", - " 0.376\n", - " 0.404\n", - " 0.335\n", - " 0.374\n", - " 0.404\n", + " 0.405\n", " 0.335\n", + " 0.379\n", + " 0.395\n", + " 0.394\n", + " 0.373\n", + " 0.399\n", + " 0.358\n", " ...\n", + " 7.5\n", + " 5.0\n", + " 15.0\n", + " 15.0\n", + " 2.0\n", " 20.0\n", - " 7.0\n", - " 30.0\n", + " 15.0\n", " 2.0\n", - " 7.0\n", - " 30.0\n", - " 16.5\n", - " 1.0\n", - " 30.0\n", - " 16.5\n", + " 20.0\n", + " 11.0\n", " \n", " \n", " 3\n", @@ -709,23 +910,23 @@ " logloss\n", " 0.251\n", " 0.291\n", - " 0.264\n", - " 0.251\n", - " 0.291\n", " 0.263\n", + " 0.253\n", + " 0.253\n", + " 0.259\n", " 0.251\n", - " 0.291\n", + " 0.271\n", " ...\n", - " 14.0\n", - " 6.0\n", - " 30.0\n", - " 1.0\n", - " 6.0\n", - " 30.0\n", - " 18.5\n", - " 6.0\n", - " 30.0\n", - " 18.5\n", + " 7.0\n", + " 7.0\n", + " 11.0\n", + " 11.0\n", + " 2.5\n", + " 20.0\n", + " 15.0\n", + " 2.5\n", + " 20.0\n", + " 15.0\n", " \n", " \n", " 4\n", @@ -735,21 +936,21 @@ " 0.084\n", " 0.078\n", " 0.077\n", - " 0.084\n", + " 0.077\n", " 0.078\n", " 0.077\n", - " 0.084\n", + " 0.081\n", " ...\n", - " 18.0\n", - " 7.0\n", - " 30.0\n", - " 7.0\n", - " 7.0\n", - " 30.0\n", - " 18.0\n", - " 7.0\n", - " 30.0\n", - " 18.0\n", + " 5.0\n", + " 5.0\n", + " 13.0\n", + " 13.0\n", + " 5.0\n", + " 20.0\n", + " 13.0\n", + " 5.0\n", + " 20.0\n", + " 13.0\n", " \n", " \n", " 5\n", @@ -764,64 +965,64 @@ " 0.906\n", " 0.906\n", " ...\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", - " 1.5\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", + " 11.0\n", + " 11.0\n", + " 11.0\n", + " 11.0\n", + " 11.0\n", + " 11.0\n", + " 11.0\n", + " 11.0\n", + " 11.0\n", + " 11.0\n", " \n", " \n", " 6\n", " 1.0\n", " auc\n", - " 0.829\n", - " 0.757\n", - " 0.793\n", - " 0.829\n", + " 0.828\n", " 0.757\n", " 0.792\n", - " 0.829\n", - " 0.757\n", + " 0.826\n", + " 0.826\n", + " 0.801\n", + " 0.828\n", + " 0.780\n", " ...\n", - " 15.0\n", - " 5.5\n", - " 30.0\n", - " 1.0\n", - " 5.5\n", - " 30.0\n", - " 20.5\n", - " 10.5\n", - " 30.0\n", - " 20.5\n", + " 8.5\n", + " 8.5\n", + " 13.0\n", + " 13.0\n", + " 2.5\n", + " 20.0\n", + " 16.0\n", + " 2.5\n", + " 20.0\n", + " 16.0\n", " \n", " \n", " 7\n", " 1.0\n", " f1\n", - " 0.371\n", - " 0.302\n", - " 0.339\n", - " 0.371\n", - " 0.302\n", - " 0.342\n", - " 0.371\n", + " 0.368\n", " 0.302\n", + " 0.337\n", + " 0.369\n", + " 0.365\n", + " 0.341\n", + " 0.369\n", + " 0.320\n", " ...\n", + " 6.5\n", + " 8.0\n", " 14.0\n", - " 6.0\n", - " 30.0\n", - " 1.0\n", - " 6.0\n", - " 30.0\n", - " 21.0\n", - " 10.5\n", - " 30.0\n", - " 21.0\n", + " 14.0\n", + " 4.0\n", + " 20.0\n", + " 12.0\n", + " 4.0\n", + " 20.0\n", + " 16.5\n", " \n", " \n", " 8\n", @@ -829,23 +1030,23 @@ " logloss\n", " 0.246\n", " 0.281\n", - " 0.263\n", - " 0.246\n", - " 0.281\n", " 0.264\n", - " 0.246\n", - " 0.281\n", + " 0.247\n", + " 0.248\n", + " 0.257\n", + " 0.247\n", + " 0.269\n", " ...\n", - " 14.0\n", - " 6.0\n", - " 30.0\n", - " 1.0\n", - " 6.0\n", - " 30.0\n", - " 20.5\n", - " 6.0\n", - " 30.0\n", - " 20.5\n", + " 8.0\n", + " 8.0\n", + " 11.5\n", + " 11.5\n", + " 2.0\n", + " 20.0\n", + " 16.5\n", + " 2.0\n", + " 20.0\n", + " 15.0\n", " \n", " \n", " 9\n", @@ -854,22 +1055,22 @@ " 0.074\n", " 0.080\n", " 0.078\n", + " 0.075\n", + " 0.075\n", + " 0.077\n", " 0.074\n", - " 0.080\n", - " 0.078\n", - " 0.074\n", - " 0.080\n", + " 0.079\n", " ...\n", - " 14.0\n", - " 5.5\n", - " 29.0\n", - " 5.5\n", - " 5.5\n", - " 29.0\n", - " 19.5\n", - " 5.5\n", - " 29.0\n", - " 19.5\n", + " 7.0\n", + " 7.0\n", + " 11.5\n", + " 11.5\n", + " 2.5\n", + " 20.0\n", + " 15.5\n", + " 2.5\n", + " 20.0\n", + " 15.5\n", " \n", " \n", " 10\n", @@ -878,94 +1079,94 @@ " 0.908\n", " 0.908\n", " 0.908\n", - " 0.908\n", - " 0.908\n", - " 0.908\n", - " 0.908\n", + " 0.909\n", + " 0.910\n", + " 0.909\n", + " 0.909\n", " 0.908\n", " ...\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", - " 1.0\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", - " 18.5\n", + " 1.5\n", + " 14.0\n", + " 14.0\n", + " 14.0\n", + " 14.0\n", + " 14.0\n", + " 14.0\n", + " 14.0\n", + " 14.0\n", + " 14.0\n", " \n", " \n", " 11\n", " 2.0\n", " auc\n", - " 0.827\n", - " 0.763\n", - " 0.796\n", - " 0.827\n", - " 0.763\n", - " 0.798\n", - " 0.827\n", + " 0.825\n", " 0.763\n", + " 0.797\n", + " 0.826\n", + " 0.826\n", + " 0.813\n", + " 0.825\n", + " 0.792\n", " ...\n", - " 15.0\n", - " 6.0\n", - " 29.0\n", " 1.0\n", + " 9.0\n", + " 12.5\n", + " 12.5\n", " 6.0\n", - " 29.0\n", - " 20.5\n", - " 11.0\n", - " 29.0\n", - " 20.5\n", + " 20.0\n", + " 15.0\n", + " 6.0\n", + " 20.0\n", + " 16.5\n", " \n", " \n", " 12\n", " 2.0\n", " f1\n", - " 0.376\n", - " 0.312\n", - " 0.345\n", - " 0.376\n", - " 0.312\n", - " 0.352\n", - " 0.376\n", + " 0.372\n", " 0.312\n", + " 0.344\n", + " 0.370\n", + " 0.374\n", + " 0.346\n", + " 0.366\n", + " 0.335\n", " ...\n", + " 1.0\n", + " 2.0\n", + " 11.5\n", + " 11.5\n", + " 6.0\n", + " 20.0\n", + " 13.0\n", + " 6.0\n", + " 20.0\n", " 14.5\n", - " 4.0\n", - " 30.0\n", - " 10.5\n", - " 4.0\n", - " 30.0\n", - " 21.0\n", - " 8.5\n", - " 30.0\n", - " 21.0\n", " \n", " \n", " 13\n", " 2.0\n", " logloss\n", - " 0.245\n", - " 0.279\n", - " 0.260\n", - " 0.245\n", + " 0.246\n", " 0.279\n", " 0.259\n", " 0.245\n", - " 0.279\n", + " 0.245\n", + " 0.250\n", + " 0.245\n", + " 0.264\n", " ...\n", - " 14.0\n", - " 6.5\n", - " 29.0\n", " 1.0\n", - " 6.5\n", - " 29.0\n", - " 19.5\n", - " 6.5\n", - " 29.0\n", - " 19.5\n", + " 7.5\n", + " 12.0\n", + " 12.0\n", + " 7.5\n", + " 20.0\n", + " 16.0\n", + " 7.5\n", + " 20.0\n", + " 16.0\n", " \n", " \n", " 14\n", @@ -975,21 +1176,21 @@ " 0.079\n", " 0.076\n", " 0.073\n", - " 0.079\n", - " 0.076\n", " 0.073\n", - " 0.079\n", + " 0.074\n", + " 0.073\n", + " 0.077\n", " ...\n", - " 14.5\n", - " 7.5\n", - " 29.0\n", " 1.0\n", - " 7.5\n", - " 29.0\n", - " 20.5\n", - " 7.5\n", - " 29.0\n", - " 20.5\n", + " 5.5\n", + " 11.0\n", + " 11.0\n", + " 5.5\n", + " 20.0\n", + " 16.0\n", + " 5.5\n", + " 20.0\n", + " 16.0\n", " \n", " \n", " 15\n", @@ -999,21 +1200,21 @@ " 0.903\n", " 0.903\n", " 0.903\n", - " 0.903\n", - " 0.903\n", - " 0.903\n", + " 0.904\n", + " 0.904\n", + " 0.904\n", " 0.903\n", " ...\n", - " 19.0\n", - " 19.0\n", - " 19.0\n", - " 2.0\n", - " 19.0\n", - " 19.0\n", - " 19.0\n", - " 2.0\n", - " 19.0\n", - " 19.0\n", + " 4.0\n", + " 14.5\n", + " 4.0\n", + " 4.0\n", + " 14.5\n", + " 14.5\n", + " 14.5\n", + " 14.5\n", + " 14.5\n", + " 14.5\n", " \n", " \n", " 16\n", @@ -1021,71 +1222,71 @@ " auc\n", " 0.826\n", " 0.755\n", - " 0.794\n", - " 0.826\n", - " 0.755\n", " 0.795\n", " 0.826\n", - " 0.755\n", + " 0.825\n", + " 0.807\n", + " 0.826\n", + " 0.790\n", " ...\n", - " 14.0\n", - " 6.0\n", - " 30.0\n", - " 6.0\n", - " 6.0\n", - " 30.0\n", - " 19.5\n", - " 1.0\n", - " 30.0\n", - " 19.5\n", + " 7.5\n", + " 3.5\n", + " 12.5\n", + " 12.5\n", + " 3.5\n", + " 20.0\n", + " 16.0\n", + " 3.5\n", + " 20.0\n", + " 16.0\n", " \n", " \n", " 17\n", " 3.0\n", " f1\n", - " 0.373\n", - " 0.307\n", - " 0.340\n", - " 0.373\n", - " 0.307\n", - " 0.348\n", - " 0.373\n", + " 0.371\n", " 0.307\n", + " 0.345\n", + " 0.368\n", + " 0.360\n", + " 0.350\n", + " 0.368\n", + " 0.334\n", " ...\n", - " 14.0\n", - " 4.5\n", - " 30.0\n", - " 10.0\n", - " 4.5\n", - " 30.0\n", - " 19.5\n", - " 4.5\n", - " 30.0\n", - " 19.5\n", + " 8.0\n", + " 7.0\n", + " 15.0\n", + " 15.0\n", + " 2.0\n", + " 20.0\n", + " 12.0\n", + " 2.0\n", + " 20.0\n", + " 17.0\n", " \n", " \n", " 18\n", " 3.0\n", " logloss\n", - " 0.251\n", + " 0.252\n", " 0.288\n", " 0.268\n", " 0.251\n", - " 0.288\n", - " 0.268\n", + " 0.252\n", + " 0.259\n", " 0.251\n", - " 0.288\n", + " 0.271\n", " ...\n", - " 14.0\n", - " 5.5\n", - " 30.0\n", - " 5.5\n", - " 5.5\n", - " 30.0\n", - " 20.5\n", - " 5.5\n", - " 30.0\n", - " 20.5\n", + " 6.0\n", + " 6.0\n", + " 12.5\n", + " 12.5\n", + " 6.0\n", + " 20.0\n", + " 16.0\n", + " 6.0\n", + " 20.0\n", + " 16.0\n", " \n", " \n", " 19\n", @@ -1095,21 +1296,21 @@ " 0.082\n", " 0.080\n", " 0.077\n", - " 0.082\n", - " 0.080\n", " 0.077\n", - " 0.082\n", + " 0.078\n", + " 0.077\n", + " 0.080\n", " ...\n", - " 14.0\n", - " 7.0\n", - " 29.0\n", - " 7.0\n", - " 7.0\n", - " 29.0\n", - " 20.5\n", - " 7.0\n", - " 29.0\n", - " 20.5\n", + " 5.0\n", + " 5.0\n", + " 11.5\n", + " 11.5\n", + " 5.0\n", + " 20.0\n", + " 16.0\n", + " 5.0\n", + " 20.0\n", + " 16.0\n", " \n", " \n", " 20\n", @@ -1117,23 +1318,23 @@ " acc\n", " 0.897\n", " 0.895\n", - " 0.895\n", - " 0.897\n", - " 0.895\n", - " 0.895\n", + " 0.896\n", + " 0.899\n", " 0.897\n", + " 0.896\n", + " 0.898\n", " 0.895\n", " ...\n", - " 26.0\n", - " 6.5\n", - " 26.0\n", - " 6.5\n", - " 6.5\n", - " 26.0\n", - " 15.0\n", - " 6.5\n", - " 26.0\n", - " 15.0\n", + " 3.0\n", + " 7.0\n", + " 12.5\n", + " 12.5\n", + " 7.0\n", + " 18.5\n", + " 18.5\n", + " 7.0\n", + " 18.5\n", + " 12.5\n", " \n", " \n", " 21\n", @@ -1141,47 +1342,47 @@ " auc\n", " 0.831\n", " 0.776\n", - " 0.806\n", - " 0.831\n", - " 0.776\n", - " 0.803\n", - " 0.831\n", - " 0.776\n", + " 0.807\n", + " 0.830\n", + " 0.828\n", + " 0.812\n", + " 0.830\n", + " 0.798\n", " ...\n", - " 14.0\n", - " 7.0\n", - " 29.0\n", - " 1.0\n", - " 7.0\n", - " 29.0\n", - " 17.5\n", - " 7.0\n", - " 29.0\n", - " 17.5\n", + " 6.0\n", + " 9.0\n", + " 11.5\n", + " 11.5\n", + " 2.0\n", + " 20.0\n", + " 17.0\n", + " 2.0\n", + " 20.0\n", + " 15.0\n", " \n", " \n", " 22\n", " 4.0\n", " f1\n", - " 0.403\n", + " 0.401\n", " 0.358\n", " 0.376\n", - " 0.403\n", - " 0.358\n", - " 0.371\n", - " 0.403\n", - " 0.358\n", + " 0.407\n", + " 0.402\n", + " 0.380\n", + " 0.402\n", + " 0.369\n", " ...\n", - " 14.0\n", - " 6.0\n", - " 29.0\n", - " 2.0\n", - " 6.0\n", - " 29.0\n", - " 17.5\n", - " 10.0\n", - " 29.0\n", - " 17.5\n", + " 7.5\n", + " 7.5\n", + " 12.0\n", + " 12.0\n", + " 5.0\n", + " 20.0\n", + " 17.0\n", + " 5.0\n", + " 20.0\n", + " 15.0\n", " \n", " \n", " 23\n", @@ -1189,23 +1390,23 @@ " logloss\n", " 0.263\n", " 0.300\n", - " 0.276\n", - " 0.263\n", - " 0.300\n", - " 0.277\n", - " 0.263\n", - " 0.300\n", + " 0.275\n", + " 0.264\n", + " 0.265\n", + " 0.271\n", + " 0.264\n", + " 0.284\n", " ...\n", - " 14.0\n", - " 6.0\n", - " 29.0\n", - " 1.0\n", - " 6.0\n", - " 29.0\n", - " 16.5\n", - " 6.0\n", - " 29.0\n", - " 16.5\n", + " 6.5\n", + " 8.5\n", + " 11.0\n", + " 11.0\n", + " 2.0\n", + " 20.0\n", + " 17.0\n", + " 2.0\n", + " 20.0\n", + " 15.0\n", " \n", " \n", " 24\n", @@ -1215,164 +1416,164 @@ " 0.087\n", " 0.082\n", " 0.080\n", - " 0.087\n", - " 0.083\n", " 0.080\n", - " 0.087\n", + " 0.082\n", + " 0.080\n", + " 0.085\n", " ...\n", - " 17.0\n", - " 7.5\n", - " 29.0\n", - " 1.0\n", - " 7.5\n", - " 29.0\n", - " 17.0\n", - " 7.5\n", - " 29.0\n", - " 17.0\n", + " 5.0\n", + " 5.0\n", + " 12.5\n", + " 12.5\n", + " 5.0\n", + " 20.0\n", + " 16.5\n", + " 5.0\n", + " 20.0\n", + " 12.5\n", " \n", " \n", "\n", - "

25 rows × 70 columns

\n", + "

25 rows × 44 columns

\n", "" ], "text/plain": [ - " fold metric group1_ebm group1_glm group1_mxgb group2_ebm \\\n", - "0 0.0 acc 0.901 0.900 0.902 0.901 \n", - "1 0.0 auc 0.839 0.775 0.812 0.839 \n", - "2 0.0 f1 0.404 0.335 0.376 0.404 \n", - "3 0.0 logloss 0.251 0.291 0.264 0.251 \n", - "4 0.0 mse 0.077 0.084 0.078 0.077 \n", - "5 1.0 acc 0.906 0.906 0.906 0.906 \n", - "6 1.0 auc 0.829 0.757 0.793 0.829 \n", - "7 1.0 f1 0.371 0.302 0.339 0.371 \n", - "8 1.0 logloss 0.246 0.281 0.263 0.246 \n", - "9 1.0 mse 0.074 0.080 0.078 0.074 \n", - "10 2.0 acc 0.908 0.908 0.908 0.908 \n", - "11 2.0 auc 0.827 0.763 0.796 0.827 \n", - "12 2.0 f1 0.376 0.312 0.345 0.376 \n", - "13 2.0 logloss 0.245 0.279 0.260 0.245 \n", - "14 2.0 mse 0.073 0.079 0.076 0.073 \n", - "15 3.0 acc 0.903 0.903 0.903 0.903 \n", - "16 3.0 auc 0.826 0.755 0.794 0.826 \n", - "17 3.0 f1 0.373 0.307 0.340 0.373 \n", - "18 3.0 logloss 0.251 0.288 0.268 0.251 \n", - "19 3.0 mse 0.077 0.082 0.080 0.077 \n", - "20 4.0 acc 0.897 0.895 0.895 0.897 \n", - "21 4.0 auc 0.831 0.776 0.806 0.831 \n", - "22 4.0 f1 0.403 0.358 0.376 0.403 \n", - "23 4.0 logloss 0.263 0.300 0.276 0.263 \n", - "24 4.0 mse 0.080 0.087 0.082 0.080 \n", + " fold metric group1_ebm group1_glm group1_mxgb group2_piml_EBM \\\n", + "0 0.0 acc 0.901 0.900 0.902 0.901 \n", + "1 0.0 auc 0.840 0.775 0.814 0.836 \n", + "2 0.0 f1 0.405 0.335 0.379 0.395 \n", + "3 0.0 logloss 0.251 0.291 0.263 0.253 \n", + "4 0.0 mse 0.077 0.084 0.078 0.077 \n", + "5 1.0 acc 0.906 0.906 0.906 0.906 \n", + "6 1.0 auc 0.828 0.757 0.792 0.826 \n", + "7 1.0 f1 0.368 0.302 0.337 0.369 \n", + "8 1.0 logloss 0.246 0.281 0.264 0.247 \n", + "9 1.0 mse 0.074 0.080 0.078 0.075 \n", + "10 2.0 acc 0.908 0.908 0.908 0.909 \n", + "11 2.0 auc 0.825 0.763 0.797 0.826 \n", + "12 2.0 f1 0.372 0.312 0.344 0.370 \n", + "13 2.0 logloss 0.246 0.279 0.259 0.245 \n", + "14 2.0 mse 0.073 0.079 0.076 0.073 \n", + "15 3.0 acc 0.903 0.903 0.903 0.903 \n", + "16 3.0 auc 0.826 0.755 0.795 0.826 \n", + "17 3.0 f1 0.371 0.307 0.345 0.368 \n", + "18 3.0 logloss 0.252 0.288 0.268 0.251 \n", + "19 3.0 mse 0.077 0.082 0.080 0.077 \n", + "20 4.0 acc 0.897 0.895 0.896 0.899 \n", + "21 4.0 auc 0.831 0.776 0.807 0.830 \n", + "22 4.0 f1 0.401 0.358 0.376 0.407 \n", + "23 4.0 logloss 0.263 0.300 0.275 0.264 \n", + "24 4.0 mse 0.080 0.087 0.082 0.080 \n", "\n", - " group2_glm group2_mxgb group3_ebm group3_glm ... \\\n", - "0 0.900 0.902 0.901 0.900 ... \n", - "1 0.775 0.813 0.839 0.775 ... \n", - "2 0.335 0.374 0.404 0.335 ... \n", - "3 0.291 0.263 0.251 0.291 ... \n", - "4 0.084 0.078 0.077 0.084 ... \n", - "5 0.906 0.906 0.906 0.906 ... \n", - "6 0.757 0.792 0.829 0.757 ... \n", - "7 0.302 0.342 0.371 0.302 ... \n", - "8 0.281 0.264 0.246 0.281 ... \n", - "9 0.080 0.078 0.074 0.080 ... \n", - "10 0.908 0.908 0.908 0.908 ... \n", - "11 0.763 0.798 0.827 0.763 ... \n", - "12 0.312 0.352 0.376 0.312 ... \n", - "13 0.279 0.259 0.245 0.279 ... \n", - "14 0.079 0.076 0.073 0.079 ... \n", - "15 0.903 0.903 0.903 0.903 ... \n", - "16 0.755 0.795 0.826 0.755 ... \n", - "17 0.307 0.348 0.373 0.307 ... \n", - "18 0.288 0.268 0.251 0.288 ... \n", - "19 0.082 0.080 0.077 0.082 ... \n", - "20 0.895 0.895 0.897 0.895 ... \n", - "21 0.776 0.803 0.831 0.776 ... \n", - "22 0.358 0.371 0.403 0.358 ... \n", - "23 0.300 0.277 0.263 0.300 ... \n", - "24 0.087 0.083 0.080 0.087 ... \n", + " group2_piml_XGB2 group2_piml_reludnn group3_piml_EBM group3_piml_GAM \\\n", + "0 0.900 0.900 0.902 0.900 \n", + "1 0.837 0.822 0.837 0.805 \n", + "2 0.394 0.373 0.399 0.358 \n", + "3 0.253 0.259 0.251 0.271 \n", + "4 0.077 0.078 0.077 0.081 \n", + "5 0.906 0.906 0.906 0.906 \n", + "6 0.826 0.801 0.828 0.780 \n", + "7 0.365 0.341 0.369 0.320 \n", + "8 0.248 0.257 0.247 0.269 \n", + "9 0.075 0.077 0.074 0.079 \n", + "10 0.910 0.909 0.909 0.908 \n", + "11 0.826 0.813 0.825 0.792 \n", + "12 0.374 0.346 0.366 0.335 \n", + "13 0.245 0.250 0.245 0.264 \n", + "14 0.073 0.074 0.073 0.077 \n", + "15 0.904 0.904 0.904 0.903 \n", + "16 0.825 0.807 0.826 0.790 \n", + "17 0.360 0.350 0.368 0.334 \n", + "18 0.252 0.259 0.251 0.271 \n", + "19 0.077 0.078 0.077 0.080 \n", + "20 0.897 0.896 0.898 0.895 \n", + "21 0.828 0.812 0.830 0.798 \n", + "22 0.402 0.380 0.402 0.369 \n", + "23 0.265 0.271 0.264 0.284 \n", + "24 0.080 0.082 0.080 0.085 \n", "\n", - " group7_piml_reludnn_rank group8_ebm_rank group8_glm_rank \\\n", - "0 16.0 16.0 28.5 \n", - "1 14.0 6.0 30.0 \n", - "2 20.0 7.0 30.0 \n", - "3 14.0 6.0 30.0 \n", - "4 18.0 7.0 30.0 \n", - "5 18.5 18.5 18.5 \n", - "6 15.0 5.5 30.0 \n", - "7 14.0 6.0 30.0 \n", - "8 14.0 6.0 30.0 \n", - "9 14.0 5.5 29.0 \n", - "10 18.5 18.5 18.5 \n", - "11 15.0 6.0 29.0 \n", - "12 14.5 4.0 30.0 \n", - "13 14.0 6.5 29.0 \n", - "14 14.5 7.5 29.0 \n", - "15 19.0 19.0 19.0 \n", - "16 14.0 6.0 30.0 \n", - "17 14.0 4.5 30.0 \n", - "18 14.0 5.5 30.0 \n", - "19 14.0 7.0 29.0 \n", - "20 26.0 6.5 26.0 \n", - "21 14.0 7.0 29.0 \n", - "22 14.0 6.0 29.0 \n", - "23 14.0 6.0 29.0 \n", - "24 17.0 7.5 29.0 \n", + " ... group5_xgb2_rank group8_piml_ebm_rank group8_piml_gam_rank \\\n", + "0 ... 9.0 9.0 9.0 \n", + "1 ... 6.5 8.5 11.0 \n", + "2 ... 7.5 5.0 15.0 \n", + "3 ... 7.0 7.0 11.0 \n", + "4 ... 5.0 5.0 13.0 \n", + "5 ... 11.0 11.0 11.0 \n", + "6 ... 8.5 8.5 13.0 \n", + "7 ... 6.5 8.0 14.0 \n", + "8 ... 8.0 8.0 11.5 \n", + "9 ... 7.0 7.0 11.5 \n", + "10 ... 1.5 14.0 14.0 \n", + "11 ... 1.0 9.0 12.5 \n", + "12 ... 1.0 2.0 11.5 \n", + "13 ... 1.0 7.5 12.0 \n", + "14 ... 1.0 5.5 11.0 \n", + "15 ... 4.0 14.5 4.0 \n", + "16 ... 7.5 3.5 12.5 \n", + "17 ... 8.0 7.0 15.0 \n", + "18 ... 6.0 6.0 12.5 \n", + "19 ... 5.0 5.0 11.5 \n", + "20 ... 3.0 7.0 12.5 \n", + "21 ... 6.0 9.0 11.5 \n", + "22 ... 7.5 7.5 12.0 \n", + "23 ... 6.5 8.5 11.0 \n", + "24 ... 5.0 5.0 12.5 \n", "\n", - " group8_mxgb_rank group9_ebm_rank group9_glm_rank group9_mxgb_rank \\\n", - "0 16.0 16.0 28.5 5.0 \n", - "1 1.0 6.0 30.0 18.0 \n", - "2 2.0 7.0 30.0 16.5 \n", - "3 1.0 6.0 30.0 18.5 \n", - "4 7.0 7.0 30.0 18.0 \n", - "5 1.5 18.5 18.5 18.5 \n", - "6 1.0 5.5 30.0 20.5 \n", - "7 1.0 6.0 30.0 21.0 \n", - "8 1.0 6.0 30.0 20.5 \n", - "9 5.5 5.5 29.0 19.5 \n", - "10 1.0 18.5 18.5 18.5 \n", - "11 1.0 6.0 29.0 20.5 \n", - "12 10.5 4.0 30.0 21.0 \n", - "13 1.0 6.5 29.0 19.5 \n", - "14 1.0 7.5 29.0 20.5 \n", - "15 2.0 19.0 19.0 19.0 \n", - "16 6.0 6.0 30.0 19.5 \n", - "17 10.0 4.5 30.0 19.5 \n", - "18 5.5 5.5 30.0 20.5 \n", - "19 7.0 7.0 29.0 20.5 \n", - "20 6.5 6.5 26.0 15.0 \n", - "21 1.0 7.0 29.0 17.5 \n", - "22 2.0 6.0 29.0 17.5 \n", - "23 1.0 6.0 29.0 16.5 \n", - "24 1.0 7.5 29.0 17.0 \n", + " group8_piml_reludnn_rank group9_ebm_rank group9_glm_rank \\\n", + "0 9.0 9.0 17.5 \n", + "1 11.0 2.0 20.0 \n", + "2 15.0 2.0 20.0 \n", + "3 11.0 2.5 20.0 \n", + "4 13.0 5.0 20.0 \n", + "5 11.0 11.0 11.0 \n", + "6 13.0 2.5 20.0 \n", + "7 14.0 4.0 20.0 \n", + "8 11.5 2.0 20.0 \n", + "9 11.5 2.5 20.0 \n", + "10 14.0 14.0 14.0 \n", + "11 12.5 6.0 20.0 \n", + "12 11.5 6.0 20.0 \n", + "13 12.0 7.5 20.0 \n", + "14 11.0 5.5 20.0 \n", + "15 4.0 14.5 14.5 \n", + "16 12.5 3.5 20.0 \n", + "17 15.0 2.0 20.0 \n", + "18 12.5 6.0 20.0 \n", + "19 11.5 5.0 20.0 \n", + "20 12.5 7.0 18.5 \n", + "21 11.5 2.0 20.0 \n", + "22 12.0 5.0 20.0 \n", + "23 11.0 2.0 20.0 \n", + "24 12.5 5.0 20.0 \n", "\n", - " ph_ebm_rank ph_glm_rank ph_mxgb_rank \n", - "0 16.0 28.5 5.0 \n", - "1 6.0 30.0 18.0 \n", - "2 1.0 30.0 16.5 \n", - "3 6.0 30.0 18.5 \n", - "4 7.0 30.0 18.0 \n", - "5 18.5 18.5 18.5 \n", - "6 10.5 30.0 20.5 \n", - "7 10.5 30.0 21.0 \n", - "8 6.0 30.0 20.5 \n", - "9 5.5 29.0 19.5 \n", - "10 18.5 18.5 18.5 \n", - "11 11.0 29.0 20.5 \n", - "12 8.5 30.0 21.0 \n", - "13 6.5 29.0 19.5 \n", - "14 7.5 29.0 20.5 \n", - "15 2.0 19.0 19.0 \n", - "16 1.0 30.0 19.5 \n", - "17 4.5 30.0 19.5 \n", - "18 5.5 30.0 20.5 \n", - "19 7.0 29.0 20.5 \n", - "20 6.5 26.0 15.0 \n", - "21 7.0 29.0 17.5 \n", - "22 10.0 29.0 17.5 \n", - "23 6.0 29.0 16.5 \n", - "24 7.5 29.0 17.0 \n", + " group9_mxgb_rank ph_ebm_rank ph_glm_rank ph_mxgb_rank \n", + "0 2.5 9.0 17.5 2.5 \n", + "1 17.0 2.0 20.0 15.5 \n", + "2 15.0 2.0 20.0 11.0 \n", + "3 15.0 2.5 20.0 15.0 \n", + "4 13.0 5.0 20.0 13.0 \n", + "5 11.0 11.0 11.0 11.0 \n", + "6 16.0 2.5 20.0 16.0 \n", + "7 12.0 4.0 20.0 16.5 \n", + "8 16.5 2.0 20.0 15.0 \n", + "9 15.5 2.5 20.0 15.5 \n", + "10 14.0 14.0 14.0 14.0 \n", + "11 15.0 6.0 20.0 16.5 \n", + "12 13.0 6.0 20.0 14.5 \n", + "13 16.0 7.5 20.0 16.0 \n", + "14 16.0 5.5 20.0 16.0 \n", + "15 14.5 14.5 14.5 14.5 \n", + "16 16.0 3.5 20.0 16.0 \n", + "17 12.0 2.0 20.0 17.0 \n", + "18 16.0 6.0 20.0 16.0 \n", + "19 16.0 5.0 20.0 16.0 \n", + "20 18.5 7.0 18.5 12.5 \n", + "21 17.0 2.0 20.0 15.0 \n", + "22 17.0 5.0 20.0 15.0 \n", + "23 17.0 2.0 20.0 15.0 \n", + "24 16.5 5.0 20.0 12.5 \n", "\n", - "[25 rows x 70 columns]" + "[25 rows x 44 columns]" ] }, "execution_count": 6, @@ -1422,7 +1623,7 @@ " eval_frame = eval_frame.append(row_dict, ignore_index=True)\n", "\n", "# init a temporary frame to hold rank information\n", - "rank_names = [name + '_rank' for name in eval_frame.columns if name not in ['fold', 'metric']]\n", + "rank_names = [name + '_rank' for name in sorted(eval_frame.columns) if name not in ['fold', 'metric']]\n", "rank_frame = pd.DataFrame(columns=rank_names) \n", "\n", "# set columns to necessary order\n", @@ -1456,6 +1657,7 @@ }, { "cell_type": "markdown", + "id": "37ed3b5f", "metadata": {}, "source": [ "#### Save `eval_frame` as CSV" @@ -1464,6 +1666,7 @@ { "cell_type": "code", "execution_count": 7, + "id": "aa89d862", "metadata": {}, "outputs": [], "source": [ @@ -1473,6 +1676,7 @@ }, { "cell_type": "markdown", + "id": "4525d3ea", "metadata": {}, "source": [ "#### Display simple ranked score list " @@ -1481,45 +1685,33 @@ { "cell_type": "code", "execution_count": 8, + "id": "f8ff5fa5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "group8_mxgb_rank 3.74\n", - "ph_ebm_rank 7.84\n", - "group1_ebm_rank 8.04\n", - "group2_ebm_rank 8.04\n", - "group9_ebm_rank 8.04\n", - "group3_ebm_rank 8.04\n", - "group8_ebm_rank 8.04\n", - "group5_ebm_rank 8.04\n", - "group7_ebm_rank 8.04\n", - "group6_ebm_rank 8.28\n", - "group7_mxgb2_rank 9.24\n", - "group7_piml_ebm_rank 12.16\n", - "group6_piml_ebm_rank 12.16\n", - "group7_piml_reludnn_rank 15.76\n", - "group7_piml_gaminet_rank 18.00\n", - "group9_mxgb_rank 18.34\n", - "ph_mxgb_rank 18.34\n", - "group3_mxgb_rank 18.34\n", - "group5_mxgb_rank 18.36\n", - "group6_mxgb_rank 19.46\n", - "group2_mxgb_rank 19.46\n", - "group1_mxgb_rank 19.66\n", - "group7_mxgb_rank 19.66\n", - "group6_piml_reludnn_rank 19.72\n", - "group6_piml_gaminet_rank 27.66\n", - "ph_glm_rank 28.06\n", - "group8_glm_rank 28.06\n", - "group6_glm_rank 28.06\n", - "group2_glm_rank 28.06\n", - "group9_glm_rank 28.06\n", - "group7_glm_rank 28.06\n", - "group1_glm_rank 28.06\n", - "group5_glm_rank 28.06\n", - "group3_glm_rank 28.06\n", + "group3_piml_EBM_rank 4.30\n", + "group1_ebm_rank 5.34\n", + "ph_ebm_rank 5.34\n", + "group9_ebm_rank 5.34\n", + "group2_piml_EBM_rank 5.36\n", + "group5_xgb2_rank 5.60\n", + "group2_piml_XGB2_rank 6.20\n", + "group3_piml_XGB_rank 6.94\n", + "group8_piml_ebm_rank 7.52\n", + "group2_piml_reludnn_rank 11.70\n", + "group8_piml_reludnn_rank 11.84\n", + "group8_piml_gam_rank 11.84\n", + "group5_reludnn_rank 12.00\n", + "group5_gaminet_rank 13.76\n", + "ph_mxgb_rank 14.30\n", + "group1_mxgb_rank 14.50\n", + "group9_mxgb_rank 14.72\n", + "group3_piml_GAM_rank 17.34\n", + "group9_glm_rank 19.02\n", + "group1_glm_rank 19.02\n", + "ph_glm_rank 19.02\n", "dtype: float64" ] }, @@ -1535,7 +1727,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1549,7 +1741,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.7.16" } }, "nbformat": 4, diff --git a/assignments/model_eval_2023_06_01_11_08_41.csv b/assignments/model_eval_2023_06_01_11_08_41.csv new file mode 100644 index 0000000..7d7b935 --- /dev/null +++ b/assignments/model_eval_2023_06_01_11_08_41.csv @@ -0,0 +1,26 @@ +fold,metric,group1_ebm,group1_glm,group1_mxgb,group2_piml_EBM,group2_piml_XGB2,group2_piml_reludnn,group3_piml_EBM,group3_piml_GAM,group3_piml_XGB,group5_gaminet,group5_reludnn,group5_xgb2,group8_piml_ebm,group8_piml_gam,group8_piml_reludnn,group9_ebm,group9_glm,group9_mxgb,ph_ebm,ph_glm,ph_mxgb,group1_ebm_rank,group1_glm_rank,group1_mxgb_rank,group2_piml_EBM_rank,group2_piml_XGB2_rank,group2_piml_reludnn_rank,group3_piml_EBM_rank,group3_piml_GAM_rank,group3_piml_XGB_rank,group5_gaminet_rank,group5_reludnn_rank,group5_xgb2_rank,group8_piml_ebm_rank,group8_piml_gam_rank,group8_piml_reludnn_rank,group9_ebm_rank,group9_glm_rank,group9_mxgb_rank,ph_ebm_rank,ph_glm_rank,ph_mxgb_rank +0.0,acc,0.901,0.9,0.902,0.901,0.9,0.9,0.902,0.9,0.901,0.9,0.9,0.901,0.901,0.901,0.901,0.901,0.9,0.902,0.901,0.9,0.902,9.0,17.5,2.5,9.0,17.5,17.5,2.5,17.5,9.0,17.5,17.5,9.0,9.0,9.0,9.0,9.0,17.5,2.5,9.0,17.5,2.5 +0.0,auc,0.84,0.775,0.814,0.836,0.837,0.822,0.837,0.805,0.835,0.819,0.821,0.836,0.835,0.822,0.822,0.84,0.775,0.813,0.84,0.775,0.814,2.0,20.0,15.5,6.5,4.5,11.0,4.5,18.0,8.5,14.0,13.0,6.5,8.5,11.0,11.0,2.0,20.0,17.0,2.0,20.0,15.5 +0.0,f1,0.405,0.335,0.379,0.395,0.394,0.373,0.399,0.358,0.397,0.383,0.375,0.395,0.398,0.374,0.374,0.405,0.335,0.374,0.405,0.335,0.381,2.0,20.0,12.0,7.5,9.0,17.0,4.0,18.0,6.0,10.0,13.0,7.5,5.0,15.0,15.0,2.0,20.0,15.0,2.0,20.0,11.0 +0.0,logloss,0.251,0.291,0.263,0.253,0.253,0.259,0.251,0.271,0.253,0.266,0.26,0.253,0.253,0.259,0.259,0.251,0.291,0.263,0.251,0.291,0.263,2.5,20.0,15.0,7.0,7.0,11.0,2.5,18.0,7.0,17.0,13.0,7.0,7.0,11.0,11.0,2.5,20.0,15.0,2.5,20.0,15.0 +0.0,mse,0.077,0.084,0.078,0.077,0.077,0.078,0.077,0.081,0.077,0.08,0.078,0.077,0.077,0.078,0.078,0.077,0.084,0.078,0.077,0.084,0.078,5.0,20.0,13.0,5.0,5.0,13.0,5.0,18.0,5.0,17.0,13.0,5.0,5.0,13.0,13.0,5.0,20.0,13.0,5.0,20.0,13.0 +1.0,acc,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,0.906,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0,11.0 +1.0,auc,0.828,0.757,0.792,0.826,0.826,0.801,0.828,0.78,0.825,0.805,0.803,0.824,0.824,0.801,0.801,0.828,0.757,0.792,0.828,0.757,0.792,2.5,20.0,16.0,5.5,5.5,13.0,2.5,18.0,7.0,10.0,11.0,8.5,8.5,13.0,13.0,2.5,20.0,16.0,2.5,20.0,16.0 +1.0,f1,0.368,0.302,0.337,0.369,0.365,0.341,0.369,0.32,0.363,0.352,0.346,0.365,0.364,0.341,0.341,0.368,0.302,0.342,0.368,0.302,0.337,4.0,20.0,16.5,1.5,6.5,14.0,1.5,18.0,9.0,10.0,11.0,6.5,8.0,14.0,14.0,4.0,20.0,12.0,4.0,20.0,16.5 +1.0,logloss,0.246,0.281,0.264,0.247,0.248,0.257,0.247,0.269,0.249,0.26,0.257,0.249,0.249,0.257,0.257,0.246,0.281,0.264,0.246,0.281,0.263,2.0,20.0,16.5,4.5,6.0,11.5,4.5,18.0,8.0,14.0,11.5,8.0,8.0,11.5,11.5,2.0,20.0,16.5,2.0,20.0,15.0 +1.0,mse,0.074,0.08,0.078,0.075,0.075,0.077,0.074,0.079,0.075,0.078,0.077,0.075,0.075,0.077,0.077,0.074,0.08,0.078,0.074,0.08,0.078,2.5,20.0,15.5,7.0,7.0,11.5,2.5,18.0,7.0,15.5,11.5,7.0,7.0,11.5,11.5,2.5,20.0,15.5,2.5,20.0,15.5 +2.0,acc,0.908,0.908,0.908,0.909,0.91,0.909,0.909,0.908,0.909,0.908,0.908,0.91,0.908,0.908,0.908,0.908,0.908,0.908,0.908,0.908,0.908,14.0,14.0,14.0,4.5,1.5,4.5,4.5,14.0,4.5,14.0,14.0,1.5,14.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0 +2.0,auc,0.825,0.763,0.797,0.826,0.826,0.813,0.825,0.792,0.825,0.812,0.809,0.828,0.824,0.81,0.81,0.825,0.763,0.798,0.825,0.763,0.797,6.0,20.0,16.5,2.5,2.5,10.0,6.0,18.0,6.0,11.0,14.0,1.0,9.0,12.5,12.5,6.0,20.0,15.0,6.0,20.0,16.5 +2.0,f1,0.372,0.312,0.344,0.37,0.374,0.346,0.366,0.335,0.373,0.358,0.345,0.376,0.375,0.356,0.356,0.372,0.312,0.352,0.372,0.312,0.346,6.0,20.0,17.0,8.0,3.0,14.5,9.0,18.0,4.0,10.0,16.0,1.0,2.0,11.5,11.5,6.0,20.0,13.0,6.0,20.0,14.5 +2.0,logloss,0.246,0.279,0.259,0.245,0.245,0.25,0.245,0.264,0.245,0.253,0.252,0.244,0.246,0.252,0.252,0.246,0.279,0.259,0.246,0.279,0.259,7.5,20.0,16.0,3.5,3.5,10.0,3.5,18.0,3.5,14.0,12.0,1.0,7.5,12.0,12.0,7.5,20.0,16.0,7.5,20.0,16.0 +2.0,mse,0.073,0.079,0.076,0.073,0.073,0.074,0.073,0.077,0.073,0.075,0.075,0.072,0.073,0.074,0.074,0.073,0.079,0.076,0.073,0.079,0.076,5.5,20.0,16.0,5.5,5.5,11.0,5.5,18.0,5.5,13.5,13.5,1.0,5.5,11.0,11.0,5.5,20.0,16.0,5.5,20.0,16.0 +3.0,acc,0.903,0.903,0.903,0.903,0.904,0.904,0.904,0.903,0.903,0.903,0.904,0.904,0.903,0.904,0.904,0.903,0.903,0.903,0.903,0.903,0.903,14.5,14.5,14.5,14.5,4.0,4.0,4.0,14.5,14.5,14.5,4.0,4.0,14.5,4.0,4.0,14.5,14.5,14.5,14.5,14.5,14.5 +3.0,auc,0.826,0.755,0.795,0.826,0.825,0.807,0.826,0.79,0.824,0.803,0.808,0.825,0.826,0.806,0.806,0.826,0.755,0.795,0.826,0.755,0.795,3.5,20.0,16.0,3.5,7.5,11.0,3.5,18.0,9.0,14.0,10.0,7.5,3.5,12.5,12.5,3.5,20.0,16.0,3.5,20.0,16.0 +3.0,f1,0.371,0.307,0.345,0.368,0.36,0.35,0.368,0.334,0.368,0.349,0.347,0.364,0.365,0.345,0.345,0.371,0.307,0.348,0.371,0.307,0.344,2.0,20.0,15.0,5.0,9.0,10.0,5.0,18.0,5.0,11.0,13.0,8.0,7.0,15.0,15.0,2.0,20.0,12.0,2.0,20.0,17.0 +3.0,logloss,0.252,0.288,0.268,0.251,0.252,0.259,0.251,0.271,0.252,0.265,0.259,0.252,0.252,0.26,0.26,0.252,0.288,0.268,0.252,0.288,0.268,6.0,20.0,16.0,1.5,6.0,10.5,1.5,18.0,6.0,14.0,10.5,6.0,6.0,12.5,12.5,6.0,20.0,16.0,6.0,20.0,16.0 +3.0,mse,0.077,0.082,0.08,0.077,0.077,0.078,0.077,0.08,0.077,0.08,0.078,0.077,0.077,0.078,0.078,0.077,0.082,0.08,0.077,0.082,0.08,5.0,20.0,16.0,5.0,5.0,11.5,5.0,16.0,5.0,16.0,11.5,5.0,5.0,11.5,11.5,5.0,20.0,16.0,5.0,20.0,16.0 +4.0,acc,0.897,0.895,0.896,0.899,0.897,0.896,0.898,0.895,0.898,0.895,0.896,0.898,0.897,0.896,0.896,0.897,0.895,0.895,0.897,0.895,0.896,7.0,18.5,12.5,1.0,7.0,12.5,3.0,18.5,3.0,18.5,12.5,3.0,7.0,12.5,12.5,7.0,18.5,18.5,7.0,18.5,12.5 +4.0,auc,0.831,0.776,0.807,0.83,0.828,0.812,0.83,0.798,0.828,0.81,0.817,0.829,0.826,0.815,0.815,0.831,0.776,0.803,0.831,0.776,0.808,2.0,20.0,16.0,4.5,7.5,13.0,4.5,18.0,7.5,14.0,10.0,6.0,9.0,11.5,11.5,2.0,20.0,17.0,2.0,20.0,15.0 +4.0,f1,0.401,0.358,0.376,0.407,0.402,0.38,0.402,0.369,0.398,0.382,0.385,0.399,0.399,0.382,0.382,0.401,0.358,0.371,0.401,0.358,0.378,5.0,20.0,16.0,1.0,2.5,14.0,2.5,18.0,9.0,12.0,10.0,7.5,7.5,12.0,12.0,5.0,20.0,17.0,5.0,20.0,15.0 +4.0,logloss,0.263,0.3,0.275,0.264,0.265,0.271,0.264,0.284,0.266,0.275,0.27,0.265,0.266,0.27,0.27,0.263,0.3,0.277,0.263,0.3,0.275,2.0,20.0,15.0,4.5,6.5,13.0,4.5,18.0,8.5,15.0,11.0,6.5,8.5,11.0,11.0,2.0,20.0,17.0,2.0,20.0,15.0 +4.0,mse,0.08,0.087,0.082,0.08,0.08,0.082,0.08,0.085,0.08,0.083,0.082,0.08,0.08,0.082,0.082,0.08,0.087,0.083,0.08,0.087,0.082,5.0,20.0,12.5,5.0,5.0,12.5,5.0,18.0,5.0,16.5,12.5,5.0,5.0,12.5,12.5,5.0,20.0,16.5,5.0,20.0,12.5