Run
580112

Run 580112

Task 7287 (Supervised Classification) adult Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_RandomTree(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.AdaBoostM1_RandomTree(3)_P100
weka.AdaBoostM1_RandomTree(3)_S1
weka.AdaBoostM1_RandomTree(3)_I10
weka.AdaBoostM1_RandomTree(3)_Wweka.classifiers.trees.RandomTree

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
0.7943
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.0919
Cross-validation details (10-fold Crossvalidation)
F measure
0.8135
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4804
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21025.2183
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.184
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8114
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8163
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8163
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5054
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4216
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9882
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1352.2954
Total cost
4487
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
3560
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
630
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
2930
Cross-validation details (10-fold Crossvalidation)