Run
204739

Run 204739

Task 4561 (Supervised Classification) kdd_ipums_la_97-small 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
0.9897
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9761
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9489
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
64430.7794
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0422
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.466
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
70190
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9768
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.976
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9504
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.976
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0905
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1451
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.3005
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1333.5799
UserCPU time millis
400
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
400
Cross-validation details (10 times 10-fold Crossvalidation)