Run
1843191

Run 1843191

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

weka.CostSensitiveClassifier_LogitBoost_RandomForest(2)Weka implementation of CostSensitiveClassifier
weka.RandomForest(11)_P100
weka.RandomForest(11)_I100
weka.RandomForest(11)_num-slots10
weka.RandomForest(11)_K20
weka.RandomForest(11)_M1.0
weka.RandomForest(11)_V0.001
weka.RandomForest(11)_S1
weka.RandomForest(11)_depth4
weka.CostSensitiveClassifier_LogitBoost_RandomForest(2)_cost-matrix[0.0 1.0; 1.898 0.0]
weka.CostSensitiveClassifier_LogitBoost_RandomForest(2)_S1
weka.CostSensitiveClassifier_LogitBoost_RandomForest(2)_Wweka.classifiers.meta.LogitBoost
weka.CostSensitiveClassifier_LogitBoost_RandomForest(2)_num-decimal-places8
weka.CostSensitiveClassifier_LogitBoost_RandomForest(2)_batch-size
weka.LogitBoost_RandomForest(2)_P100
weka.LogitBoost_RandomForest(2)_L-1.7976931348623157E308
weka.LogitBoost_RandomForest(2)_H1.0
weka.LogitBoost_RandomForest(2)_Z1.32
weka.LogitBoost_RandomForest(2)_O10
weka.LogitBoost_RandomForest(2)_E32
weka.LogitBoost_RandomForest(2)_S1
weka.LogitBoost_RandomForest(2)_I10
weka.LogitBoost_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.LogitBoost_RandomForest(2)_num-decimal-places8
weka.LogitBoost_RandomForest(2)_batch-size

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
0.8503
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
4.8751
Cross-validation details (10-fold Crossvalidation)
F measure
0.8505
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4209
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2188.5242
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1738
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
0.8474
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8623
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8623
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6313
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3202
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8634
Cross-validation details (10-fold Crossvalidation)
Total cost
40844
Cross-validation details (10-fold Crossvalidation)