DEVELOPMENT... OpenML
Run
163720

Run 163720

Task 3916 (Supervised Classification) kc1-binary 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
0.7963
Per class
F measure
0.7194
Per class
Kappa
0.4352
KB relative information score
63.161
Mean absolute error
0.2704
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.733
Per class
Predictive accuracy
0.7172
Prior entropy
0.979
Recall
0.7172
Per class
Relative absolute error
0.5572
Root mean prior squared error
0.4925
Root mean squared error
0.4787
Root relative squared error
0.9719
SciMark benchmark
876.8277
UserCPU time millis
120
UserCPU time millis training
120

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