DEVELOPMENT... OpenML
Run
164434

Run 164434

Task 3898 (Supervised Classification) kc1-top5 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
0.7313
Per class
F measure
0.9264
Per class
Kappa
0.2503
KB relative information score
20.2367
Mean absolute error
0.0651
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9224
Per class
Predictive accuracy
0.931
Prior entropy
0.3323
Recall
0.931
Per class
Relative absolute error
0.5933
Root mean prior squared error
0.2284
Root mean squared error
0.2505
Root relative squared error
1.097
SciMark benchmark
876.8277
UserCPU time millis
250
UserCPU time millis training
250

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