Run
1847834

Run 1847834

Task 10 (Supervised Classification) lymph Uploaded 27-02-2017 by maxime buron
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Mon_Feb_27_15.18.05_2017 NumPy_1.12.0. Python_2.7.13. run_task SciPy_0.18.1. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.forest.RandomForestClassifier(16)Automatically created sub-component.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(16)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(16)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(16)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(16)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(16)_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
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7917
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6124
Cross-validation details (10-fold Crossvalidation)
KB relative information score
81.6454
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1277
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7983
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8041
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8041
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.477
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2454
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6744
Cross-validation details (10-fold Crossvalidation)