Run
1840493

Run 1840493

Task 125969 (Supervised Classification) SpeedDating Uploaded 22-11-2016 by J B
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_DecisionStump(12)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(12)_P100
weka.AdaBoostM1_DecisionStump(12)_Qtrue
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I65
weka.AdaBoostM1_DecisionStump(12)_Wweka.classifiers.trees.DecisionStump

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
0.8477
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2461
Cross-validation details (10-fold Crossvalidation)
F measure
0.8431
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3833
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1290.1799
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2013
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
0.8413
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8593
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.8593
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7312
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3187
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8592
Cross-validation details (10-fold Crossvalidation)
Total cost
2062
Cross-validation details (10-fold Crossvalidation)