DEVELOPMENT... OpenML
Run
144551

Run 144551

Task 3857 (Supervised Classification) vehicle 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
0.9928
Per class
F measure
0.9858
Per class
Kappa
0.9627
KB relative information score
813.4325
Mean absolute error
0.0135
Mean prior absolute error
0.3828
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9858
Per class
Predictive accuracy
0.9858
Prior entropy
0.8241
Recall
0.9858
Per class
Relative absolute error
0.0352
Root mean prior squared error
0.4374
Root mean squared error
0.1031
Root relative squared error
0.2358
SciMark benchmark
938.9865
UserCPU time millis
750
UserCPU time millis training
750