DEVELOPMENT... OpenML
Run
162982

Run 162982

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 16-02-2015 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)_I20
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
0.6505
Per class
F measure
0.618
Per class
Kappa
0.2276
KB relative information score
65.4823
Mean absolute error
0.4097
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
0.6181
Per class
Predictive accuracy
0.6179
Prior entropy
0.992
Recall
0.6179
Per class
Relative absolute error
0.8286
Root mean prior squared error
0.4972
Root mean squared error
0.5124
Root relative squared error
1.0305
SciMark benchmark
934.5243
UserCPU time millis
20
UserCPU time millis training
20

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