Run
434784

Run 434784

Task 71 (Learning Curve) mfeat-factors 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.

20 Evaluation measures

Area under ROC curve
0.7186 ± 0.0132
Per class
Kappa
0.1081 ± 0.0043
KB relative information score
0.2204 ± 0.0074
Mean absolute error
0.1669 ± 0.0005
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.1973 ± 0.0039
Prior entropy
3.3219
Recall
0.1973 ± 0.0039
Per class
Relative absolute error
0.927 ± 0.0028
Root mean prior squared error
0.3
Root mean squared error
0.2893 ± 0.0009
Root relative squared error
0.9643 ± 0.0029
SciMark benchmark
912.4377
UserCPU time millis
90
UserCPU time millis training
90