DEVELOPMENT... OpenML
Run
162199

Run 162199

Task 3837 (Supervised Classification) hayes-roth 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
0.7349
Per class
F measure
0.662
Per class
Kappa
0.2886
KB relative information score
33.2119
Mean absolute error
0.3548
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
0.7078
Per class
Predictive accuracy
0.697
Prior entropy
0.9635
Recall
0.697
Per class
Relative absolute error
0.7475
Root mean prior squared error
0.4869
Root mean squared error
0.4687
Root relative squared error
0.9627
SciMark benchmark
938.9865
UserCPU time millis
10
UserCPU time millis training
10