DEVELOPMENT... OpenML
Run
163659

Run 163659

Task 3854 (Supervised Classification) car 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
0.9117
Per class
F measure
0.8661
Per class
Kappa
0.7018
KB relative information score
979.0052
Mean absolute error
0.1802
Mean prior absolute error
0.4199
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8938
Per class
Predictive accuracy
0.8611
Prior entropy
0.8813
Recall
0.8611
Per class
Relative absolute error
0.4293
Root mean prior squared error
0.4582
Root mean squared error
0.3062
Root relative squared error
0.6682
SciMark benchmark
934.5243
UserCPU time millis
80
UserCPU time millis training
80