Run
8858424

Run 8858424

Task 146231 (Supervised Classification) tokyo1 Uploaded 22-02-2018 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(6)_axis0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features[21, 39]
openmlstudy14.preprocessing.ConditionalImputer(6)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose0
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features[21, 39]
sklearn.preprocessing.data.OneHotEncoder(18)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(18)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(18)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(18)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(12)_threshold0.0
sklearn.linear_model.logistic.LogisticRegression(12)_C1.0
sklearn.linear_model.logistic.LogisticRegression(12)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(12)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(12)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(12)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(12)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(12)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(12)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(12)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(12)_random_state1
sklearn.linear_model.logistic.LogisticRegression(12)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(12)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(12)_verbose0
sklearn.linear_model.logistic.LogisticRegression(12)_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
0.9281 ± 0.0241
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9077 ± 0.0133
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.799 ± 0.0299
Cross-validation details (10-fold Crossvalidation)
KB relative information score
583.8573 ± 6.5651
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1972 ± 0.0338
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4613 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Number of instances
959
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9078 ± 0.0126
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9082 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9436
Cross-validation details (10-fold Crossvalidation)
Recall
0.9082 ± 0.0129
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4275 ± 0.0739
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4802 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2959 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6161 ± 0.0487
Cross-validation details (10-fold Crossvalidation)