Run
1840661

Run 1840661

Task 10 (Supervised Classification) lymph Uploaded 23-11-2016 by Daan de Graaf
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • NumPy_1.11.2. Python_3.5.2. run_task SciPy_0.18.1. sklearn.ensemble.forest.RandomForestClassifier Sklearn_0.18.1. Wed_Nov_23_11.01.03_2016
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.forest.RandomForestClassifier(14)Flow generated by run_task
sklearn.ensemble.forest.RandomForestClassifier(14)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(14)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(14)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(14)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(14)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(14)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(14)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(14)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(14)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(14)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(14)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(14)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(14)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(14)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(14)_warm_startFalse
sklearn.ensemble.forest.RandomForestClassifier(14)_criteriongini

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
0.9135
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8164
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6573
Cross-validation details (10-fold Crossvalidation)
KB relative information score
81.9028
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1314
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
0.815
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8243
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8243
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4909
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2531
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6954
Cross-validation details (10-fold Crossvalidation)