DEVELOPMENT... OpenML
Run
164171

Run 164171

Task 3618 (Supervised Classification) puma32H Uploaded 17-02-2015 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
0.6619
Per class
F measure
0.6545
Per class
Kappa
0.3091
KB relative information score
2303.2884
Mean absolute error
0.3642
Mean prior absolute error
0.5
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6546
Per class
Predictive accuracy
0.6545
Prior entropy
1
Recall
0.6545
Per class
Relative absolute error
0.7285
Root mean prior squared error
0.5
Root mean squared error
0.5493
Root relative squared error
1.0986
SciMark benchmark
936.6206
UserCPU time millis
10170
UserCPU time millis testing
30
UserCPU time millis training
10140