Run
1837348

Run 1837348

Task 3792 (Supervised Classification) rabe_176 Uploaded 28-10-2016 by Josep Pon Farreny
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Fri_Oct_28_14.07.16_2016 NumPy_1.11.2. Python_3.5.2. run_task SciPy_0.18.1. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.18.
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.forest.RandomForestClassifier(13)Flow generated by run_task
sklearn.ensemble.forest.RandomForestClassifier(13)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(13)_warm_startFalse
sklearn.ensemble.forest.RandomForestClassifier(13)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(13)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(13)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(13)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(13)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(13)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(13)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(13)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(13)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(13)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(13)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(13)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(13)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(13)_n_estimators10

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

csv
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.5759
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5571
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1143
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6.3791
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4586
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
70
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5572
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.5571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9171
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5525
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1051
Cross-validation details (10-fold Crossvalidation)