DEVELOPMENT... OpenML
Run
120146

Run 120146

Task 1777 (Supervised Classification) breast-cancer 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
0.63
Per class
Build CPU time
2.7822
Build memory
75694856
F measure
0.6803
Per class
Kappa
0.2256
KB relative information score
250.2653
Mean absolute error
0.3222
Mean prior absolute error
0.4183
Number of instances
1430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6769
Per class
Predictive accuracy
0.6846
Prior entropy
0.8796
Recall
0.6846
Per class
Relative absolute error
0.7702
Root mean prior squared error
0.457
Root mean squared error
0.5395
Root relative squared error
1.1805
SciMark benchmark
942.0692