Run
1841392

Run 1841392

Task 125966 (Supervised Classification) SpeedDating Uploaded 27-11-2016 by J B
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_RandomForest(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomForest(9)_I100
weka.RandomForest(9)_K9
weka.RandomForest(9)_S1
weka.RandomForest(9)_depth15
weka.RandomForest(9)_num-slots8
weka.RandomForest(9)_Btrue
weka.Bagging_RandomForest(9)_P100
weka.Bagging_RandomForest(9)_Otrue
weka.Bagging_RandomForest(9)_S1
weka.Bagging_RandomForest(9)_num-slots8
weka.Bagging_RandomForest(9)_I25
weka.Bagging_RandomForest(9)_Wweka.classifiers.trees.RandomForest

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
0.8671
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8133
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2306
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1013.0126
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2195
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
0.8547
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8547
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7975
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
0.8546
Cross-validation details (10-fold Crossvalidation)