DEVELOPMENT... OpenML
Run
163029

Run 163029

Task 3948 (Supervised Classification) KDDCup09_upselling 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)_I20
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
0.8407
Per class
F measure
0.935
Per class
Kappa
0.5038
KB relative information score
18477.7975
Mean absolute error
0.0611
Mean prior absolute error
0.1364
Number of instances
50000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9331
Per class
Predictive accuracy
0.9378
Prior entropy
0.3794
Recall
0.9378
Per class
Relative absolute error
0.4479
Root mean prior squared error
0.2612
Root mean squared error
0.2425
Root relative squared error
0.9285
SciMark benchmark
938.4278
UserCPU time millis
81760
UserCPU time millis testing
100
UserCPU time millis training
81660