Run
204677

Run 204677

Task 4523 (Supervised Classification) tae Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_DecisionStump(12)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_DecisionStump(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I10
weka.AdaBoostM1_DecisionStump(12)_Wweka.classifiers.trees.DecisionStump

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
0.6353
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6063
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1072
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
136.1655
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.41
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4522
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1510
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.607
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.643
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9308
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.643
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9066
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4752
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4718
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9929
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
934.1747
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)