DEVELOPMENT... OpenML
Run
120357

Run 120357

Task 3633 (Supervised Classification) analcatdata_apnea1 Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8489
Per class
Build CPU time
3.9026
Build memory
1488483183.3937
F measure
0.9231
Per class
Kappa
0.6434
KB relative information score
271.1639
Mean absolute error
0.0741
Mean prior absolute error
0.225
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
0.922
Per class
Predictive accuracy
0.9263
Prior entropy
0.5574
Recall
0.9263
Per class
Relative absolute error
0.3295
Root mean prior squared error
0.3346
Root mean squared error
0.2697
Root relative squared error
0.8062
SciMark benchmark
916.8903