Run
1849072

Run 1849072

Task 145677 (Supervised Classification) Bioresponse Uploaded 04-03-2017 by Yezi Zhu
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • NumPy_1.12.0. Python_3.5.2. run_task Sat_Mar__4_18.10.51_2017 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)_criterionentropy
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_estimators4096
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs-1
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
0.8823
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8054
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6075
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1532.1867
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3122
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8054
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8057
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.8057
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6288
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3764
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7556
Cross-validation details (10-fold Crossvalidation)