DEVELOPMENT... OpenML
Run
164437

Run 164437

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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
0.6873
Per class
F measure
0.6615
Per class
Kappa
0.316
KB relative information score
89.6249
Mean absolute error
0.3795
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6619
Per class
Predictive accuracy
0.6612
Prior entropy
0.992
Recall
0.6612
Per class
Relative absolute error
0.7674
Root mean prior squared error
0.4972
Root mean squared error
0.5046
Root relative squared error
1.0149
SciMark benchmark
876.8277
UserCPU time millis
70
UserCPU time millis training
70