DEVELOPMENT... OpenML
Run
163825

Run 163825

Task 6 (Supervised Classification) letter 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)_I80
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
0.6512
Per class
F measure
0.0109
Per class
Kappa
0.0329
KB relative information score
2445.7166
Mean absolute error
0.0726
Mean prior absolute error
0.074
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0059
Per class
Predictive accuracy
0.0709
Prior entropy
4.6998
Recall
0.0709
Per class
Relative absolute error
0.9815
Root mean prior squared error
0.1923
Root mean squared error
0.1905
Root relative squared error
0.9907
SciMark benchmark
938.4278
UserCPU time millis
170
UserCPU time millis testing
30
UserCPU time millis training
140