Run
434795

Run 434795

Task 88 (Learning Curve) credit-approval 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
0.9331 ± 0.0294
Per class
F measure
0.8618 ± 0.0344
Per class
Kappa
0.7214 ± 0.0688
KB relative information score
0.7147 ± 0.0637
Mean absolute error
0.141 ± 0.0309
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8638 ± 0.0342
Per class
Predictive accuracy
0.8614 ± 0.0344
Prior entropy
0.9912 ± 0.0021
Recall
0.8614 ± 0.0344
Per class
Relative absolute error
0.2854 ± 0.0626
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3385 ± 0.0446
Root relative squared error
0.6812 ± 0.0897
SciMark benchmark
938.0833
UserCPU time millis
110
UserCPU time millis training
110