Run
1840766

Run 1840766

Task 125966 (Supervised Classification) SpeedDating Uploaded 23-11-2016 by M. van Nijnatten
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Flow

weka.AdaBoostM1_RandomForest(4)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.RandomForest(9)_I50
weka.RandomForest(9)_K5
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots8
weka.RandomForest(9)_num-decimal-places6
weka.AdaBoostM1_RandomForest(4)_P100
weka.AdaBoostM1_RandomForest(4)_S1
weka.AdaBoostM1_RandomForest(4)_I20
weka.AdaBoostM1_RandomForest(4)_Wweka.classifiers.trees.RandomForest
weka.AdaBoostM1_RandomForest(4)_num-decimal-places6

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
0.6663
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8332
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3325
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2851.0587
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1504
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
0.8353
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8563
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8563
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5466
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3705
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9988
Cross-validation details (10-fold Crossvalidation)