Run
145842

Run 145842

Task 151 (Supervised Classification) BNG(page-blocks,nominal,295245) Uploaded 31-01-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_J48(2)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_J48(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8725
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9057
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4967
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-56174.0388
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0806
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0755
Cross-validation details (10-fold Crossvalidation)
Number of instances
295245
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.909
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9196
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.634
Cross-validation details (10-fold Crossvalidation)
Recall
0.9196
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0667
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1944
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1676
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8624
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
917.4321
UserCPU time millis
48070
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1500
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
46570
Cross-validation details (10-fold Crossvalidation)