Run
163163

Run 163163

Task 3528 (Supervised Classification) la2s.wc Uploaded 16-02-2015 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
0.9532
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9117
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.89
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2745.8362
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0293
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2655
Cross-validation details (10-fold Crossvalidation)
Number of instances
3075
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
0.9125
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9125
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4305
Cross-validation details (10-fold Crossvalidation)
Recall
0.9125
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1105
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3643
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1703
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4673
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.6717
UserCPU time millis
147670220
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
13940
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
147656280
Cross-validation details (10-fold Crossvalidation)