DEVELOPMENT... OpenML
Run
165459

Run 165459

Task 3914 (Supervised Classification) ar6 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)_I160
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
0.6926
Per class
F measure
0.8305
Per class
Kappa
0.2439
KB relative information score
29.4249
Mean absolute error
0.144
Mean prior absolute error
0.2577
Number of instances
101
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8342
Per class
Predictive accuracy
0.8614
Prior entropy
0.623
Recall
0.8614
Per class
Relative absolute error
0.5588
Root mean prior squared error
0.3557
Root mean squared error
0.3746
Root relative squared error
1.0533
SciMark benchmark
936.7115
UserCPU time millis
110
UserCPU time millis training
110