DEVELOPMENT... OpenML
Run
163611

Run 163611

Task 3806 (Supervised Classification) fri_c0_500_10 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)_I40
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
0.9286
Per class
F measure
0.852
Per class
Kappa
0.7036
KB relative information score
340.1961
Mean absolute error
0.1623
Mean prior absolute error
0.4994
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.852
Per class
Predictive accuracy
0.852
Prior entropy
0.9991
Recall
0.852
Per class
Relative absolute error
0.3251
Root mean prior squared error
0.4997
Root mean squared error
0.3371
Root relative squared error
0.6745
SciMark benchmark
936.6206
UserCPU time millis
90
UserCPU time millis training
90