Run
1841525

Run 1841525

Task 125966 (Supervised Classification) SpeedDating Uploaded 28-11-2016 by Kevin Chang
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_IBk(5)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.AdaBoostM1_IBk(5)_P100
weka.AdaBoostM1_IBk(5)_S1
weka.AdaBoostM1_IBk(5)_I10
weka.AdaBoostM1_IBk(5)_Wweka.classifiers.lazy.IBk

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
0.6157
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7906
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2344
Cross-validation details (10-fold Crossvalidation)
KB relative information score
650.6004
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2081
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
0.7893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.792
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.792
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7562
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4561
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2295
Cross-validation details (10-fold Crossvalidation)