Run
1841136

Run 1841136

Task 125966 (Supervised Classification) SpeedDating Uploaded 26-11-2016 by J B
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Flow

weka.Bagging_RandomForest(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomForest(9)_I90
weka.RandomForest(9)_K9
weka.RandomForest(9)_S1
weka.RandomForest(9)_depth15
weka.RandomForest(9)_num-slots5
weka.RandomForest(9)_Btrue
weka.RandomForest(9)_num-decimal-places5
weka.Bagging_RandomForest(9)_P100
weka.Bagging_RandomForest(9)_Otrue
weka.Bagging_RandomForest(9)_S1
weka.Bagging_RandomForest(9)_num-slots5
weka.Bagging_RandomForest(9)_I36
weka.Bagging_RandomForest(9)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(9)_num-decimal-places5

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.867
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.813
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.229
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1007.5768
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2196
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8435
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8546
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8546
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7978
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.317
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8547
Cross-validation details (10-fold Crossvalidation)