DEVELOPMENT... OpenML
Run
165248

Run 165248

Task 3718 (Supervised Classification) boston 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
0.9312
Per class
F measure
0.8703
Per class
Kappa
0.7311
KB relative information score
366.011
Mean absolute error
0.1328
Mean prior absolute error
0.4849
Number of instances
506
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8723
Per class
Predictive accuracy
0.8715
Prior entropy
0.9782
Recall
0.8715
Per class
Relative absolute error
0.2738
Root mean prior squared error
0.4924
Root mean squared error
0.3457
Root relative squared error
0.7022
SciMark benchmark
894.7455
UserCPU time millis
320
UserCPU time millis testing
10
UserCPU time millis training
310