LDA.rar_Fisher sonar iris_Iris sonar_fisher_fisher iris数据_lda

D:\anac\envs\tensorflow\python.exe D:/大三课程/模式识别/pro1/code/sonar.py 第一次测试结果： 最优w为： [-8.48572542e+15 -2.81901429e+14 -1.12904954e+14 1.07980219e+15 -1.15061379e+15 -1.87132305e+15 -4.35303599e+14 -1.17251711e+14 -9.78396993e+14 6.13576100e+14 -6.49086517e+14 6.59128549e+13 2.66717342e+14 -2.71068812e+14 4.39439706e+14 9.51788323e+13 -2.06007294e+14 -6.01409763e+14 -8.98021652e+14 -6.87791410e+14 -1.37773279e+15 4.84203725e+13 -2.03144669e+14 1.02879002e+15 2.29964593e+13 1.23558110e+15 -6.74143258e+14 -6.03840643e+14 1.17313071e+15 -1.82358428e+14 4.90510541e+14 -1.36133586e+15 4.45536010e+14 7.11123267e+14 -8.15118829e+14 -6.95898939e+13 -3.68832155e+13 -2.76057447e+14 7.08417018e+13 9.27881963e+14 9.89855333e+14 -1.82100092e+14 -1.67782103e+14 9.00407083e+14 4.37201122e+14 -3.51722980e+14 3.08304410e+14 7.53809547e+13 -3.19652272e+14 5.17798333e+14 -1.43779249e+14 4.06621477e+14 4.25809315e+14 3.48558159e+14 2.41775495e+14 -5.27071304e+13 2.93293085e+14 -1.86286710e+13 2.92654556e+14 -1.07321659e+14] 测试结果： [1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 2, 2, 1] 测试准确率为：0.534884 第二次测试结果： 最优w为： [ 1.53539062e+16 2.93216909e+12 -2.08020285e+14 -1.81576802e+14 -2.72116990e+14 4.97687002e+14 4.39298436e+13 2.93654290e+14 -1.34406392e+14 -3.22201443e+14 4.99702700e+14 1.14414833e+14 3.95657155e+14 -8.11826900e+14 -5.26668351e+13 -1.30877858e+14 -2.25869806e+14 3.11764766e+14 3.78196840e+14 2.70735235e+14 -3.72941028e+14 -2.39646862e+13 -1.02492464e+14 -3.38202348e+14 3.11189551e+14 2.71446121e+14 -2.60417757e+14 -1.41844087e+14 3.99662720e+14 3.79493371e+13 2.83367875e+14 -5.16714608e+14 3.10824884e+14 9.83428590e+13 -8.31849823e+12 -1.00310214e+14 8.49660473e+14 3.38187588e+14 -5.62582285e+14 -6.99049134e+14 2.03538227e+13 -3.35333906e+14 -3.68256276e+14 -3.25043698e+14 -1.95649826e+14 -1.41544920e+14 -4.03832327e+14 2.01076558e+14 4.02750268e+14 2.41940078e+14 -7.88388133e+13 -9.72601125e+13 1.28885977e+14 -1.46969825e+14 5.56755451e+13 8.36650349e+13 1.53790069e+12 2.60682583e+14 4.15700784e+14 1.47488221e+14] 测试结果： [1, 2, 2, 1, 2, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 2, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 1, 2, 1, 2, 2] 测试准确率为：0.534884 第三次测试结果： 最优w为： [-1.99088199e+15 3.82018018e+14 -1.69650077e+14 2.36657574e+14 1.46541117e+14 5.54288809e+14 2.58298082e+14 -1.48246339e+14 3.71149823e+14 -4.47909952e+14 -2.58632071e+14 5.32353151e+14 3.43906446e+14 2.43116543e+14 -1.05893935e+14 -3.40804158e+14 -2.07262482e+14 1.80216959e+14 -6.26240388e+14 5.59685971e+14 -5.06344192e+14 -5.59340199e+13 1.67658831e+13 1.54615886e+14 8.49652866e+13 -5.02303763e+12 -7.28060074e+13 -6.10003637e+14 6.45112544e+13 -2.01292091e+11 -5.14814237e+14 4.43827113e+14 5.04444603e+14 3.70279258e+14 1.31496597e+14 -5.03151109e+14 -4.40487933e+13 6.43968883e+13 -3.29126726e+14 2.54658275e+14 -5.52505177e+14 -4.05271981e+14 -8.18078957e+14 2.09893786e+13 -3.68651393e+14 2.29901346e+14 2.23323377e+14 5.31468085e+13 1.22571198e+14 1.13785061e+13 -3.76856385e+14 6.74725315e+13 -1.56661011e+14 9.47312356e+13 5.12618327e+12 5.29446926e+13 -1.37666299e+14 -1.42089349e+13 1.80975574e+14 -3.74930833e+13] 测试结果： [1, 1, 1, 2, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 1] 测试准确率为：0.441860 第四次测试结果： 最优w为： [ 1.01057173e+17 -7.48810861e+14 4.56496707e+14 3.83325875e+14 -2.06047996e+14 -1.29046484e+14 8.13174935e+14 -1.12521775e+14 1.54050113e+14 -1.23051072e+15 9.19261157e+14 -5.19163549e+14 -4.06803261e+14 -6.85767404e+14 -9.11058442e+13 -4.75742751e+14 9.26832346e+13 -3.84090512e+14 -3.23859942e+14 7.02554759e+14 2.89816680e+14 3.25180193e+14 -1.32293073e+14 4.76734662e+13 9.70724614e+14 -4.61074748e+14 6.47749507e+14 1.65172776e+14 5.22746349e+14 -6.51247493e+14 -2.58400860e+14 5.08571955e+14 2.92851703e+14 -1.48126186e+14 -4.43243376e+14 -7.59968430e+14 1.77753112e+14 2.22114499e+14 -5.41827163e+14 -4.87014463e+14 -7.52655245e+14 8.53221990e+14 1.34796532e+13 -1.81655805e+14 -5.44604956e+14 -3.25207371e+14 -4.87113774e+14 -2.61898634e+14 3.74996041e+13 3.85804502e+14 -3.20113243e+13 3.51861321e+14 -1.86914161e+14 -8.28805040e+13 -2.13333892e+14 7.27711942e+12 -5.58081899e+13 9.19013307e+13 1.31178987e+14 -2.74133564e+14] 测试结果： [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 2, 1, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 2] 测试准确率为：0.534884 第五次测试结果： 最优w为： [ 1.77512794e+14 -2.33065168e+14 4.09776352e+13 -3.46696912e+14 -1.24476145e+14 5.50489368e+14 -2.44008671e+14 -2.34839321e+13 1.51459480e+14 1.45132501e+14 3.41686423e+14 -1.15305810e+14 -2.19358822e+14 4.29924238e+14 3.37423868e+14 5.45171273e+14 4.49627305e+14 -6.14956800e+14 -2.09035992e+14 2.12809002e+14 -3.36994491e+14 -7.10779530e+14 6.28789402e+14 -6.67306484e+14 2.63279922e+14 2.38261880e+14 -1.06077437e+14 7.31760789e+14 6.94627877e+13 -1.14249105e+14 -2.96634507e+14 -3.41639948e+14 -3.09091964e+14 -3.22161407e+14 -2.97153989e+14 1.24052901e+14 -3.06652598e+13 -2.19058110e+13 -9.58854812e+13 1.04644469e+14 -1.03643627e+14 7.16986266e+13 -8.12524475e+14 8.38787071e+14 8.00421206e+14 3.89555629e+14 -1.20429517e+14 2.31453724e+14 -1.21984074e+14 6.97684628e+13 -3.76077669e+14 -2.70267040e+13 -2.42448731e+14 -1.47273623e+14 7.94232633e+13 2.87347876e+14 -1.19479663e+14 -1.07132658e+14 1.15314965e+14 8.97658787e+13] 测试结果： [1, 1, 2, 1, 1, 2, 2, 1, 1, 2, 1, 2, 2, 1, 2, 1, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2] 测试准确率为：0.697674 平均测试准确率为 0.548837 Process finished with exit code 0