DEVELOPMENT... OpenML
Run
161854

Run 161854

Task 3505 (Supervised Classification) codrna 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
0.8505
Per class
F measure
0.8683
Per class
Kappa
0.6995
KB relative information score
309461.6854
Mean absolute error
0.1649
Mean prior absolute error
0.4444
Number of instances
488565
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8696
Per class
Predictive accuracy
0.8708
Prior entropy
0.9183
Recall
0.8708
Per class
Relative absolute error
0.3711
Root mean prior squared error
0.4714
Root mean squared error
0.3507
Root relative squared error
0.744
SciMark benchmark
938.9865
UserCPU time millis
41930
UserCPU time millis testing
700
UserCPU time millis training
41230