DEVELOPMENT... OpenML
Run
117922

Run 117922

Task 9 (Supervised Classification) autos Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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.AdaBoostM1_LADTree(2)_I20
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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.

21 Evaluation measures

Area under ROC curve
0.9444
Per class
Build CPU time
3.4023
Build memory
863402952.8195
F measure
0.829
Per class
Kappa
0.7763
KB relative information score
156.6608
Mean absolute error
0.0568
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8363
Per class
Predictive accuracy
0.8293
Prior entropy
2.3268
Recall
0.8293
Per class
Relative absolute error
0.2572
Root mean prior squared error
0.3318
Root mean squared error
0.2051
Root relative squared error
0.6184
SciMark benchmark
914.1182