Run
1842398

Run 1842398

Task 125968 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Johann Slabber
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Flow

weka.CostSensitiveClassifier_LogitBoost_RandomForest(1)Weka implementation of CostSensitiveClassifier
weka.RandomForest(9)_I100
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.CostSensitiveClassifier_LogitBoost_RandomForest(1)_cost-matrix[0.0 1.0; 50.0 0.0]
weka.CostSensitiveClassifier_LogitBoost_RandomForest(1)_S1
weka.CostSensitiveClassifier_LogitBoost_RandomForest(1)_Wweka.classifiers.meta.LogitBoost
weka.LogitBoost_RandomForest(1)_P100
weka.LogitBoost_RandomForest(1)_L-1.7976931348623157E308
weka.LogitBoost_RandomForest(1)_H1.0
weka.LogitBoost_RandomForest(1)_Z3.0
weka.LogitBoost_RandomForest(1)_O1
weka.LogitBoost_RandomForest(1)_E1
weka.LogitBoost_RandomForest(1)_S1
weka.LogitBoost_RandomForest(1)_I10
weka.LogitBoost_RandomForest(1)_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
0.8681
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
4.5973
Cross-validation details (10-fold Crossvalidation)
F measure
0.8558
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4463
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3016.9102
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1472
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
0.8525
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8652
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8652
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5347
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3283
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.885
Cross-validation details (10-fold Crossvalidation)
Total cost
38516
Cross-validation details (10-fold Crossvalidation)