Run
560471

Run 560471

Task 13908 (Supervised Classification) covertype Uploaded 16-04-2016 by Nikita Kazeev
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • NumPy_1.10.4. Python_3.5.1. run_task Sat_Apr_16_09.49.03_2016 SciPy_0.17.0. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.16.1.
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.forest.RandomForestClassifier(9)Flow generated by openml_run
sklearn.ensemble.forest.RandomForestClassifier(9)_warm_startFalse
sklearn.ensemble.forest.RandomForestClassifier(9)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(9)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(9)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(9)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(9)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(9)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(9)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(9)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(9)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(9)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(9)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(9)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(9)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(9)_class_weightNone

Result files

Description

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

Predictions

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

17 Evaluation measures

Area under ROC curve
0.99
Per class
Cross-validation details (4-fold Crossvalidation)
F measure
0.9406
Per class
Cross-validation details (4-fold Crossvalidation)
Kappa
0.9049
Cross-validation details (4-fold Crossvalidation)
KB relative information score
496382.2932
Cross-validation details (4-fold Crossvalidation)
Mean absolute error
0.0382
Cross-validation details (4-fold Crossvalidation)
Mean prior absolute error
0.178
Cross-validation details (4-fold Crossvalidation)
Number of instances
581012
Per class
Cross-validation details (4-fold Crossvalidation)
Precision
0.9409
Per class
Cross-validation details (4-fold Crossvalidation)
Predictive accuracy
0.941
Cross-validation details (4-fold Crossvalidation)
Prior entropy
1.7387
Cross-validation details (4-fold Crossvalidation)
Recall
0.941
Per class
Cross-validation details (4-fold Crossvalidation)
Relative absolute error
0.2146
Cross-validation details (4-fold Crossvalidation)
Root mean prior squared error
0.2984
Cross-validation details (4-fold Crossvalidation)
Root mean squared error
0.1207
Cross-validation details (4-fold Crossvalidation)
Root relative squared error
0.4047
Cross-validation details (4-fold Crossvalidation)