DEVELOPMENT... OpenML
Run
162141

Run 162141

Task 3779 (Supervised Classification) fri_c3_100_5 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)_I10
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
0.7551
Per class
F measure
0.6908
Per class
Kappa
0.3755
KB relative information score
37.0796
Mean absolute error
0.3114
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6929
Per class
Predictive accuracy
0.69
Prior entropy
0.99
Recall
0.69
Per class
Relative absolute error
0.6318
Root mean prior squared error
0.4964
Root mean squared error
0.4877
Root relative squared error
0.9825
SciMark benchmark
938.9865
UserCPU time millis
10
UserCPU time millis training
10

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