Run
7932249

Run 7932249

Task 10103 (Supervised Classification) volcanoes-a1 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(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_state18689
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
0.9547 ± 0.0369
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9668 ± 0.0083
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7992 ± 0.0467
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2099.4172 ± 20.8658
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.025 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0699 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Number of instances
3252
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9683 ± 0.0079
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9692 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6323
Cross-validation details (10-fold Crossvalidation)
Recall
0.9692 ± 0.0066
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3582 ± 0.0376
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1864 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1038 ± 0.0112
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5569 ± 0.0575
Cross-validation details (10-fold Crossvalidation)