Run
1849094

Run 1849094

Task 145677 (Supervised Classification) Bioresponse Uploaded 07-03-2017 by Ruud Andriessen
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  • NumPy_1.12.0. Python_3.5.1. run_task SciPy_0.18.1. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.18.1. Tue_Mar__7_13.33.53_2017
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Flow

sklearn.ensemble.forest.RandomForestClassifier(16)Automatically created sub-component.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(16)_max_features7
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split4
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators2048
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(16)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(16)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(16)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(16)_warm_startFalse

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
0.8759
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7991
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5949
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1329.9476
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3402
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7993
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7995
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7995
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6853
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3885
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7798
Cross-validation details (10-fold Crossvalidation)