Embedded Files
Table 1. Characteristics of the studied datasets. Some of the datasets were discretized using CAIM implemented in the Weka data mining software
Figures. Accumulated Pareto front of the datasets. Red circles - the accumulated Pareto front obtained by ten runs of MOPSO-BN. Purple circle - chosen solution after computing the Euclidean distance between every solution from the Pareto front and the origin. Blue star - the solution learned using Hill Climbing algorithm.
Fig. Australian
Fig. Chess
Fig. Cleve
Fig. CorrAl
Fig. crx
Fig. Flare
Fig. Diabetes
Fig. German
Fig. Glass2
Fig. Heart
Fig. Hepatitis
Fig. Lymphography
Fig. Mofn-3-7-10
Fig. Pima
Fig. Segment
Fig. Soybean-large
Fig. Tic-tac-toe
Fig. Vehicle
Fig. Vote
Fig. Waveform21
Fig. Bayesian networks structures generated by using Hill-Climbing (HC) and the chosen solution using our proposed algorithm MOPSO-BN.
Fig. Australian HC
Fig. AustralianMOPSO-BN
Fig. Chess HC
Fig. Chess MOPSO-BN
Fig Cleve Hc
Fig. Cleve MOPSO-BN
Fig. CorrAl HC
Fig. CorrAl MOPSO-BN
Fig. crx HC
Fig. crx MOPSO-BN
Fig. Flare HC
Fig. Flare MOPSO-BN
Fig. Diabetes Hc
Fig. Diabetes MOPSO-BN
Fig. German HC
Fig. German MOPSO-BN
Fig. Glass2 HC
Fig. Glass2 MOPSO-BN
Fig. Heart HC
Fig. Heart MOPSO-BN
Fig. Hepatitis HC
Fig. Hepatitis MOPSO-BN
Fig. Lymphography HC
Fig. Lymphography MOPSO-BN
Fig. mofn-3-7-10 HC
Fig. mofn-3-7-10 MOPSO-BN
Fig. Pima HC
Fig. Pima MOPSO-BN
Fig. Segment HC
Fig. Segment MOPSO-BN
Fig. SoyBean-large HC
Fig. SoyBean-large MOPSO-BN
Fig. Tic-tac-toe HC
Fig. Tic-tac-toe MOPSO-BN
Fig. Vehicle HC
Fig. Vehicle MOPSO-BN
Fig. Vote HC
Fig. Vote MOPSO-BN
Fig. Waveform21 HC
Fig. Waveform21 MOPSO-BN
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