OpenML
434804

Run 434804

Task 90 (Learning Curve) credit-g Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I80
weka.MultiBoostAB_DecisionStump(3)_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
0.7664 ± 0.0504
Per class
F measure
0.7073 ± 0.0414
Per class
Kappa
0.274 ± 0.1036
KB relative information score
0.3027 ± 0.0704
Mean absolute error
0.2767 ± 0.0256
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7124 ± 0.048
Per class
Predictive accuracy
0.7336 ± 0.0334
Prior entropy
0.8813
Recall
0.7336 ± 0.0334
Per class
Relative absolute error
0.6586 ± 0.0609
Root mean prior squared error
0.4583
Root mean squared error
0.4513 ± 0.0284
Root relative squared error
0.9848 ± 0.0621
SciMark benchmark
904.333
UserCPU time millis
170
UserCPU time millis training
170