DEVELOPMENT... OpenML
Run
116400

Run 116400

Task 57 (Supervised Classification) ionosphere Uploaded 09-12-2014 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)_I160
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
0.9232
Per class
Build CPU time
13.8341
Build memory
1093568304.7977
F measure
0.9367
Per class
Kappa
0.8614
KB relative information score
301.3093
Mean absolute error
0.0627
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9378
Per class
Predictive accuracy
0.9373
Prior entropy
0.9425
Recall
0.9373
Per class
Relative absolute error
0.1361
Root mean prior squared error
0.4797
Root mean squared error
0.2504
Root relative squared error
0.5219
SciMark benchmark
933.4498