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benchmark/benchmark/tests/test_files/excel_add_ODTE.test

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1;1;" ODTE ver. 0.3.2 Python ver. 3.11x with 5 Folds cross validation and 10 random seeds. 2022-04-20 10:52:20"
2;1;" Gridsearched hyperparams v022.1b random_init"
3;1;" Score is accuracy"
3;2;" Execution time"
3;5;"22,591.47 s"
3;7;"Platform"
3;9;"Galgo"
3;11;"Random seeds: [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]"
4;5;" 6.28 h"
4;11;"Stratified: False"
4;13;"Discretized: False"
6;1;"Dataset"
6;2;"Samples"
6;3;"Features"
6;4;"Classes"
6;5;"Nodes"
6;6;"Leaves"
6;7;"Depth"
6;8;"Score"
6;9;"Stat"
6;10;"Score Std."
6;11;"Time"
6;12;"Time Std."
6;13;"Hyperparameters"
7;1;"balance-scale"
7;2;"625"
7;3;"4"
7;4;"3"
7;5;"7.361199999999999"
7;6;"4.180599999999999"
7;7;"3.536"
7;8;"0.96352"
7;9;" "
7;10;"0.02494974148162661"
7;11;"0.3166321754455567"
7;12;"0.1991881389525559"
7;13;"{'base_estimator__C': 57, 'base_estimator__gamma': 0.1, 'base_estimator__kernel': 'rbf', 'base_estimator__multiclass_strategy': 'ovr', 'n_estimators': 100, 'n_jobs': -1}"
8;1;"balloons"
8;2;"16"
8;3;"4"
8;4;"2"
8;5;"2.9952"
8;6;"1.9976"
8;7;"1.9976"
8;8;"0.785"
8;9;"➶"
8;10;"0.2461311755051675"
8;11;"0.1156062078475952"
8;12;"0.0127842418285999"
8;13;"{'base_estimator__C': 5, 'base_estimator__gamma': 0.14, 'base_estimator__kernel': 'rbf', 'base_estimator__multiclass_strategy': 'ovr', 'n_estimators': 100, 'n_jobs': -1}"
11;2;"➶"
11;3;"1"
11;4;"Better than ZeroR + 10.0%"
13;1;"** accuracy compared to STree_default (liblinear-ovr) .: 0.0434"