DEVELOPMENT... OpenML
Run
162836

Run 162836

Task 3756 (Supervised Classification) visualizing_hamster 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
0.6333
Per class
F measure
0.6663
Per class
Kappa
0.3256
KB relative information score
20.6896
Mean absolute error
0.3609
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6706
Per class
Predictive accuracy
0.6712
Prior entropy
0.9937
Recall
0.6712
Per class
Relative absolute error
0.7282
Root mean prior squared error
0.4977
Root mean squared error
0.5343
Root relative squared error
1.0735
SciMark benchmark
922.9039
UserCPU time millis
10
UserCPU time millis training
10