DEVELOPMENT... OpenML
Run
163622

Run 163622

Task 3818 (Supervised Classification) tae 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
0.6215
Per class
F measure
0.6423
Per class
Kappa
0.1888
KB relative information score
37.9208
Mean absolute error
0.3244
Mean prior absolute error
0.4522
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6513
Per class
Predictive accuracy
0.6755
Prior entropy
0.9308
Recall
0.6755
Per class
Relative absolute error
0.7173
Root mean prior squared error
0.4752
Root mean squared error
0.5236
Root relative squared error
1.102
SciMark benchmark
936.6206
UserCPU time millis
10
UserCPU time millis training
10