Run
581082

Run 581082

Task 30 (Supervised Classification) page-blocks Uploaded 06-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_IBk(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.MultiBoostAB_IBk(3)_C3
weka.MultiBoostAB_IBk(3)_P100
weka.MultiBoostAB_IBk(3)_S1
weka.MultiBoostAB_IBk(3)_I10
weka.MultiBoostAB_IBk(3)_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.

22 Evaluation measures

Area under ROC curve
0.8763
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.959
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7796
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3858.9382
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0159
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9585
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9602
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9602
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2093
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1262
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6478
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1405.1694
UserCPU time millis
50970
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
18530
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
32440
Cross-validation details (10-fold Crossvalidation)