DEVELOPMENT... OpenML
Run
120060

Run 120060

Task 35 (Supervised Classification) dermatology 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
0.9839
Per class
Build CPU time
32.7224
Build memory
2909342588.3497
F measure
0.9699
Per class
Kappa
0.9624
KB relative information score
352.0754
Mean absolute error
0.01
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.97
Per class
Predictive accuracy
0.9699
Prior entropy
2.4378
Recall
0.9699
Per class
Relative absolute error
0.0374
Root mean prior squared error
0.3649
Root mean squared error
0.0994
Root relative squared error
0.2724
SciMark benchmark
924.2473