DEVELOPMENT... OpenML
Run
118215

Run 118215

Task 3709 (Supervised Classification) breastTumor 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)_I20
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
0.5795
Per class
Build CPU time
0.8486
Build memory
188999830.6573
F measure
0.5671
Per class
Kappa
0.1056
KB relative information score
26.6247
Mean absolute error
0.4394
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
0.5662
Per class
Predictive accuracy
0.5769
Prior entropy
0.9815
Recall
0.5769
Per class
Relative absolute error
0.9019
Root mean prior squared error
0.4935
Root mean squared error
0.5472
Root relative squared error
1.1088
SciMark benchmark
916.1588