DEVELOPMENT... OpenML
Run
144325

Run 144325

Task 3631 (Supervised Classification) analcatdata_apnea2 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
0.9721
Per class
F measure
0.9426
Per class
Kappa
0.7513
KB relative information score
320.7153
Mean absolute error
0.0611
Mean prior absolute error
0.2343
Number of instances
475
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9421
Per class
Predictive accuracy
0.9432
Prior entropy
0.5744
Recall
0.9432
Per class
Relative absolute error
0.2609
Root mean prior squared error
0.3414
Root mean squared error
0.2118
Root relative squared error
0.6204
SciMark benchmark
902.4773
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60