DEVELOPMENT... OpenML
Run
165361

Run 165361

Task 3821 (Supervised Classification) segment 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
0.9969
Per class
F measure
0.997
Per class
Kappa
0.9876
KB relative information score
2271.6545
Mean absolute error
0.003
Mean prior absolute error
0.2451
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.997
Per class
Predictive accuracy
0.997
Prior entropy
0.5925
Recall
0.997
Per class
Relative absolute error
0.012
Root mean prior squared error
0.3499
Root mean squared error
0.0515
Root relative squared error
0.1471
SciMark benchmark
940.2922
UserCPU time millis
2090
UserCPU time millis testing
20
UserCPU time millis training
2070