DEVELOPMENT... OpenML
Run
21925

Run 21925

Task 10 (Supervised Classification) lymph Uploaded 20-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I10
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9173
Per class
F measure
0.8848
Per class
Kappa
0.7813
KB relative information score
112.9183
Mean absolute error
0.0573
Mean prior absolute error
0.2677
Number of instances
148
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8857
Per class
Predictive accuracy
0.8851
Prior entropy
1.2818
Recall
0.8851
Per class
Relative absolute error
0.2138
Root mean prior squared error
0.3639
Root mean squared error
0.2304
Root relative squared error
0.6331
SciMark benchmark
934.6571[560.4886395932788993.5318554177143477.00655035355487905.19339878208931737.0652800776204]