DEVELOPMENT... OpenML
Run
165334

Run 165334

Task 3798 (Supervised Classification) fri_c1_250_10 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)_I160
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
0.9542
Per class
F measure
0.8833
Per class
Kappa
0.7625
KB relative information score
186.1884
Mean absolute error
0.1264
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.885
Per class
Predictive accuracy
0.884
Prior entropy
0.9898
Recall
0.884
Per class
Relative absolute error
0.2564
Root mean prior squared error
0.4964
Root mean squared error
0.3211
Root relative squared error
0.6469
SciMark benchmark
940.2922
UserCPU time millis
290
UserCPU time millis training
290