DEVELOPMENT... OpenML
Run
162535

Run 162535

Task 2138 (Supervised Classification) BNG(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)_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
0.6238
Per class
F measure
0.0117
Per class
Kappa
0.0291
KB relative information score
96910.3482
Mean absolute error
0.0728
Mean prior absolute error
0.074
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
0.0066
Per class
Predictive accuracy
0.068
Prior entropy
4.6999
Recall
0.068
Per class
Relative absolute error
0.9849
Root mean prior squared error
0.1923
Root mean squared error
0.1908
Root relative squared error
0.9924
SciMark benchmark
936.6206
UserCPU time millis
29640
UserCPU time millis testing
1960
UserCPU time millis training
27680