Run
10154819

Run 10154819

Task 10 (Supervised Classification) lymph Uploaded 14-02-2019 by Maja Franz
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing._encoders.OneHotEncoder,Classifier=skle arn.ensemble.forest.RandomForestClassifier)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(30)_axis0
sklearn.preprocessing.imputation.Imputer(30)_copytrue
sklearn.preprocessing.imputation.Imputer(30)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(30)_strategy"median"
sklearn.preprocessing.imputation.Imputer(30)_verbose0
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing._encoders.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_memorynull
sklearn.preprocessing._encoders.OneHotEncoder(4)_categorical_featuresnull
sklearn.preprocessing._encoders.OneHotEncoder(4)_categoriesnull
sklearn.preprocessing._encoders.OneHotEncoder(4)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(4)_handle_unknown"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(4)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(4)_sparsefalse
sklearn.ensemble.forest.RandomForestClassifier(45)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(45)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(45)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(45)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(45)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(45)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(45)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(45)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(45)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(45)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(45)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(45)_n_estimators"warn"
sklearn.ensemble.forest.RandomForestClassifier(45)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(45)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(45)_random_state6549
sklearn.ensemble.forest.RandomForestClassifier(45)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(45)_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.

15 Evaluation measures

Area under ROC curve
0.9147 ± 0.0699
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6316 ± 0.117
Cross-validation details (10-fold Crossvalidation)
KB relative information score
77.8763 ± 1.9802
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1311 ± 0.0268
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677 ± 0.0078
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8108 ± 0.0609
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8108 ± 0.0609
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4896 ± 0.0972
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2541 ± 0.046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6981 ± 0.1243
Cross-validation details (10-fold Crossvalidation)