Run
10329977

Run 10329977

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 19-08-2019 by Heinrich Peters
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gra dient_boosting.HistGradientBoostingClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_l2_regularization0.001
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_learning_rate0.01
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_loss"auto"
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_bins64
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_depth2
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_iter450
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_leaf_nodes16
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_min_samples_leaf17
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_n_iter_no_changenull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_random_state29812
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_scoringnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_tol1e-07
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_validation_fraction0.2
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_verbose0
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)_verbosefalse
sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(1)_copytrue
sklearn.impute._base.SimpleImputer(1)_fill_valuenull
sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(1)_strategy"most_frequent"
sklearn.impute._base.SimpleImputer(1)_verbose0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9842 ± 0.0006
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.9830.983250.98350.983750.9840.984250.98450.984750.9850.985250.…0.9855
F measure
0.8355 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.8310.8320.8330.8340.8350.8360.8370.8380.8390.84
Kappa
0.8185 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.8130.8140.8150.8160.8170.8180.8190.820.8210.8220.…0.823
KB relative information score
0.8008 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.7980.7990.80.8010.8020.8030.8040.805
Mean absolute error
0.0566 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.05580.0560.05620.05640.05660.05680.0570.05720.0…0.0574
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.18
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8361 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.8320.8330.8340.8350.8360.8370.8380.8390.840.8…0.841
Predictive accuracy
0.8367 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.8320.8330.8340.8350.8360.8370.8380.8390.840.8…0.841
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore03.3219
Recall
0.8367 ± 0.0025
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.8320.8330.8340.8350.8360.8370.8380.8390.840.8…0.841
Relative absolute error
0.3147 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.310.3110.3120.3130.3140.3150.3160.3170.318
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.3
Root mean squared error
0.154 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.1520.15250.1530.15350.1540.15450.1550.15…0.1555
Root relative squared error
0.5133 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.5060.5070.5080.5090.510.5110.5120.5130.5140.5150.5160.517…0.518
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