DEVELOPMENT... OpenML
Run
165254

Run 165254

Task 3725 (Supervised Classification) auto93 Uploaded 17-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.917
Per class
F measure
0.8588
Per class
Kappa
0.6971
KB relative information score
66.2105
Mean absolute error
0.131
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8594
Per class
Predictive accuracy
0.8602
Prior entropy
0.9573
Recall
0.8602
Per class
Relative absolute error
0.2788
Root mean prior squared error
0.4845
Root mean squared error
0.3438
Root relative squared error
0.7096
SciMark benchmark
936.6206
UserCPU time millis
70
UserCPU time millis training
70