Question: these images are gmm algorithm code for iris dataset. Please give the code for 'GMM ALGORITHM FOR CAR EVALUATION DATASET.Use The images as reference and

these images are gmm algorithm code for iris dataset. Please give thecode for '"GMM ALGORITHM FOR CAR EVALUATION DATASET".Use The images as referenceand implement the code for car evaluation dataset as how it wasthese images are gmm algorithm code for iris dataset. Please give the code for '"GMM ALGORITHM FOR CAR EVALUATION DATASET".Use The images as reference and implement the code for car evaluation dataset as how it was implemented for iris dataset in images. The implementation for car evaluation dataset should be done same as it was done with iris dataset in the images. Please give the output also. Don't edit the images and send it.

Note: text values in car evaluation dataset should be converted into numerical

2 Solution: 3 xmu=npmatrix(xd2ama)mdata} printptes prentris] Ppprinticod N = I In(dirsndum) geneme =n.2 rus(oN,k. (N) primigamm shape) num_ itarabiors =20 ter n in range d, rum_iteratons): E_Stap(axdsta, mu, nov, d, kr, phi, grommi) MLSlepirdate, mu, cov, d, kc, phi, jarmal prinil? iteration ,n ) t-----ompube acduracy---- preds = foc in rangeto. N): pred = npargrax(rp multiplyigamms i], phib) preok epjendzpred? frimipreds\} plat_inisixdsta, prads) cluser essigned = [1] t since Gl.k is ursupervised, cass assignments ta clusbers may vary on esch run clusder_ssaigned = [mode(jereds[0 50]Ko], modecoreds[s0:100][OL. mededpreds!100 150]Ko]l ace =0 fec in range[0, N} ): if prode[i] = cluster_ sesianec[0] and i 50:N teri 50 memters beicng 10 clase 0 axc=acc+1 if peeds(i) - cuuster_issignec[1] and i : =50 and i

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