DEVELOPMENT... OpenML
Run
162261

Run 162261

Task 3899 (Supervised Classification) mozilla4 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
0.9093
Per class
F measure
0.9322
Per class
Kappa
0.8432
KB relative information score
13107.2162
Mean absolute error
0.0657
Mean prior absolute error
0.4412
Number of instances
15545
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9401
Per class
Predictive accuracy
0.9343
Prior entropy
0.9135
Recall
0.9343
Per class
Relative absolute error
0.1489
Root mean prior squared error
0.4697
Root mean squared error
0.2563
Root relative squared error
0.5456
SciMark benchmark
938.9865
UserCPU time millis
320
UserCPU time millis testing
20
UserCPU time millis training
300