DEVELOPMENT... OpenML
Run
164163

Run 164163

Task 3629 (Supervised Classification) fri_c0_250_10 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
0.9134
Per class
F measure
0.856
Per class
Kappa
0.712
KB relative information score
169.3456
Mean absolute error
0.1637
Mean prior absolute error
0.5
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8564
Per class
Predictive accuracy
0.856
Prior entropy
1
Recall
0.856
Per class
Relative absolute error
0.3273
Root mean prior squared error
0.5
Root mean squared error
0.3658
Root relative squared error
0.7316
SciMark benchmark
943.2817
UserCPU time millis
90
UserCPU time millis training
90