DEVELOPMENT... OpenML
Run
22416

Run 22416

Task 10 (Supervised Classification) lymph Uploaded 21-06-2014 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)_I80
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
0.8818
Per class
F measure
0.8647
Per class
Kappa
0.7427
KB relative information score
108.0584
Mean absolute error
0.0676
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
0.8656
Per class
Predictive accuracy
0.8649
Prior entropy
1.2818
Recall
0.8649
Per class
Relative absolute error
0.2524
Root mean prior squared error
0.3639
Root mean squared error
0.2599
Root relative squared error
0.7142
SciMark benchmark
916.5852[561.210022948523923.7560113684783483.8854846559526870.91023277889261743.1642237068993]