Run
536744

Run 536744

Task 10 (Supervised Classification) lymph Uploaded 14-03-2016 by Matej Petkovic
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • 03-14-16_15.56.22 NumPy_1.9.2. openml_run Python_3.4.3. SciPy_0.15.1. 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_jobs1
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

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
0.8831
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7652
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.558
Cross-validation details (10-fold Crossvalidation)
KB relative information score
71.2023
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1443
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
0.7703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.777
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.777
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5388
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.272
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7474
Cross-validation details (10-fold Crossvalidation)