DEVELOPMENT... OpenML
Run
117569

Run 117569

Task 3495 (Supervised Classification) SPECT 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)_I40
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
0.802
Per class
Build CPU time
1.094
Build memory
371199799.9401
F measure
0.8086
Per class
Kappa
0.4034
KB relative information score
72.5523
Mean absolute error
0.205
Mean prior absolute error
0.3284
Number of instances
267
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8055
Per class
Predictive accuracy
0.8127
Prior entropy
0.738
Recall
0.8127
Per class
Relative absolute error
0.6243
Root mean prior squared error
0.4044
Root mean squared error
0.3914
Root relative squared error
0.9677
SciMark benchmark
920.7965