Run
145922

Run 145922

Task 210 (Supervised Classification) BNG(vehicle,nominal,1000000) 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
0.8956
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.703
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6109
Cross-validation details (10-fold Crossvalidation)
KB relative information score
430391.7144
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2589
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.708
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.999
Cross-validation details (10-fold Crossvalidation)
Recall
0.708
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6908
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7665
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
457.518
UserCPU time millis
653280
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
13930
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
639350
Cross-validation details (10-fold Crossvalidation)