DEVELOPMENT... OpenML
Run
161601

Run 161601

Task 229 (Supervised Classification) SEA(50) 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
0.8231
Per class
F measure
0.7733
Per class
Kappa
0.5206
KB relative information score
470030.6709
Mean absolute error
0.2509
Mean prior absolute error
0.4739
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7729
Per class
Predictive accuracy
0.7737
Prior entropy
0.9619
Recall
0.7737
Per class
Relative absolute error
0.5294
Root mean prior squared error
0.4868
Root mean squared error
0.4293
Root relative squared error
0.882
SciMark benchmark
938.9865
UserCPU time millis
30640
UserCPU time millis testing
1020
UserCPU time millis training
29620