OpenML
146632

Run 146632

Task 3716 (Supervised Classification) tecator Uploaded 01-02-2015 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)_I80
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
0.9355
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9292
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8553
Cross-validation details (10-fold Crossvalidation)
KB relative information score
204.8215
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0708
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4888
Cross-validation details (10-fold Crossvalidation)
Number of instances
240
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
0.9293
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9292
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.984
Cross-validation details (10-fold Crossvalidation)
Recall
0.9292
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1449
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2659
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5379
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
904.3001
UserCPU time millis
2790
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
2780
Cross-validation details (10-fold Crossvalidation)