DEVELOPMENT... OpenML
Run
22505

Run 22505

Task 10 (Supervised Classification) lymph Uploaded 22-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_MultilayerPerceptron(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_MultilayerPerceptron(1)_C3
weka.MultiBoostAB_MultilayerPerceptron(1)_I80
weka.MultiBoostAB_MultilayerPerceptron(1)_P100
weka.MultiBoostAB_MultilayerPerceptron(1)_S1
weka.MultiBoostAB_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

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
0.8897
Per class
F measure
0.8374
Per class
Kappa
0.6985
KB relative information score
94.8333
Mean absolute error
0.0893
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
0.8352
Per class
Predictive accuracy
0.8446
Prior entropy
1.2818
Recall
0.8446
Per class
Relative absolute error
0.3335
Root mean prior squared error
0.3639
Root mean squared error
0.2724
Root relative squared error
0.7484
SciMark benchmark
916.3855[547.8142687314753978.646534145704467.2505563743711876.7357831567881711.480212926496]