DEVELOPMENT... OpenML
Run
164229

Run 164229

Task 3695 (Supervised Classification) fri_c2_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
0.9394
Per class
F measure
0.8994
Per class
Kappa
0.7815
KB relative information score
194.7804
Mean absolute error
0.0989
Mean prior absolute error
0.4633
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
0.8995
Per class
Predictive accuracy
0.9
Prior entropy
0.9468
Recall
0.9
Per class
Relative absolute error
0.2134
Root mean prior squared error
0.4812
Root mean squared error
0.2957
Root relative squared error
0.6146
SciMark benchmark
943.2817
UserCPU time millis
90
UserCPU time millis training
90