Run
1841344

Run 1841344

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


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)_I200
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.AdaBoostM1_RandomForest(4)_P100
weka.AdaBoostM1_RandomForest(4)_S1
weka.AdaBoostM1_RandomForest(4)_I10
weka.AdaBoostM1_RandomForest(4)_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
0.8628
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8149
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2384
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1029.3464
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2184
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
0.8411
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
0.7934
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3178
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8568
Cross-validation details (10-fold Crossvalidation)