DEVELOPMENT... OpenML
Run
164374

Run 164374

Task 3837 (Supervised Classification) hayes-roth 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
0.863
Per class
F measure
0.8339
Per class
Kappa
0.6452
KB relative information score
76.5975
Mean absolute error
0.2007
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8527
Per class
Predictive accuracy
0.8409
Prior entropy
0.9635
Recall
0.8409
Per class
Relative absolute error
0.423
Root mean prior squared error
0.4869
Root mean squared error
0.3788
Root relative squared error
0.7779
SciMark benchmark
936.6206
UserCPU time millis
10
UserCPU time millis training
10