DEVELOPMENT... OpenML
Run
144390

Run 144390

Task 3696 (Supervised Classification) autoMpg Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9639
Per class
F measure
0.9021
Per class
Kappa
0.8038
KB relative information score
323.7586
Mean absolute error
0.0923
Mean prior absolute error
0.4987
Number of instances
398
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9024
Per class
Predictive accuracy
0.902
Prior entropy
0.9982
Recall
0.902
Per class
Relative absolute error
0.185
Root mean prior squared error
0.4994
Root mean squared error
0.2829
Root relative squared error
0.5666
SciMark benchmark
945.6434
UserCPU time millis
100
UserCPU time millis training
100