DEVELOPMENT... OpenML
Run
119838

Run 119838

Task 3709 (Supervised Classification) breastTumor 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)_I10
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
0.5139
Per class
Build CPU time
2.2133
Build memory
106195868.7832
F measure
0.5405
Per class
Kappa
0.0541
KB relative information score
5.4375
Mean absolute error
0.4725
Mean prior absolute error
0.4872
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5393
Per class
Predictive accuracy
0.542
Prior entropy
0.9815
Recall
0.542
Per class
Relative absolute error
0.9699
Root mean prior squared error
0.4935
Root mean squared error
0.6405
Root relative squared error
1.2978
SciMark benchmark
942.5053