Run
7932237

Run 7932237

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 26-09-2017 by Berihun Yimam
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Flow

sklearn.pipeline.Pipeline(OneHotEncoder=sklearn.preprocessing.data.OneHotEn coder,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(9)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparsefalse
sklearn.ensemble.forest.RandomForestClassifier(24)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(24)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(24)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(24)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(24)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(24)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(24)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(24)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(24)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(24)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(24)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(24)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(24)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(24)_random_state10775
sklearn.ensemble.forest.RandomForestClassifier(24)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(24)_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
0.6867 ± 0.0096
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6361 ± 0.0097
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2647 ± 0.0202
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2403.1892 ± 15.6762
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4235 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6425 ± 0.0116
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.644 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.644 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8559 ± 0.0094
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4749 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9548 ± 0.0077
Cross-validation details (10-fold Crossvalidation)