DEVELOPMENT... OpenML
Run
163416

Run 163416

Task 3613 (Supervised Classification) servo 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)_I40
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
0.9814
Per class
F measure
0.9313
Per class
Kappa
0.8161
KB relative information score
127.5376
Mean absolute error
0.0714
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9454
Per class
Predictive accuracy
0.9281
Prior entropy
0.7794
Recall
0.9281
Per class
Relative absolute error
0.2021
Root mean prior squared error
0.4193
Root mean squared error
0.2618
Root relative squared error
0.6244
SciMark benchmark
942.1229
UserCPU time millis
10
UserCPU time millis training
10

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