Run
7932223

Run 7932223

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 26-09-2017 by Berihun Yimam
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.e nsemble.forest.RandomForestClassifier)(6)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_state48011
sklearn.ensemble.forest.RandomForestClassifier(24)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(24)_warm_startfalse
sklearn.preprocessing.imputation.Imputer(9)_axis0
sklearn.preprocessing.imputation.Imputer(9)_copytrue
sklearn.preprocessing.imputation.Imputer(9)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(9)_strategy"median"
sklearn.preprocessing.imputation.Imputer(9)_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
0.6827 ± 0.0076
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6354 ± 0.0086
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2633 ± 0.0164
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2389.4375 ± 12.7806
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4234 ± 0.0037
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
0.6417 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6433 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6433 ± 0.0075
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8557 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4764 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9577 ± 0.0059
Cross-validation details (10-fold Crossvalidation)