# Avoid inconsistent results while using Predict to analyze some data?

Posted 5 months ago
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 Hello every one. I am trying to use the Predict function to analyze some data, but every time that i reevaluate the note book the function shows different results. I have two variables: BTBD3={1046191,0.8098,0.7911,1.3145,-1.536,1.1049,1.3731,1.8264,1.2149,-0.8713,0.2316,1.3843,0.9008,0.7431,0.699,0.0239,0.7467,1.0878,1.3287,-0.4692,1.0712,1.4159,-1.0044,-0.3183,-0.7756,0.1484,-0.7616,0.9472,-1.026,-0.9338,-1.0074,0.1882,1.016,-0.4417,-1.223,0.7623,-0.7554,0.8287,1.3681,1.5391,1.1124,0.8433,-0.8565,-1.1009,-0.9042,-0.9685,-0.9787,-1.0033,0.8513,1.368,0.1184,-0.2037,-0.597,-1.2794,1.0161,1.0787,0.6009,-1.0177,-0.4911,0.4994,-0.6605,0.082,-0.8535,-0.9214,0.9554,1.4633,1.264,0.4882,1.0166,-0.5337,-0.8379,0.5897,-1.0513,-0.9697,-1.0065,-0.435,1.0594,0.6309,-1.3417,-0.179,0.8756,0.8685,0.8566,0.2567,-0.9578,-1.3213,-0.2061,0.1508,-1.0442,-1.4258,0.8897,-0.545,-0.7857,-0.2418,0.4358,0.7094,-1.206,-0.9879,-0.5573,-1.0928,-0.8229,-0.7904,-1.0242,-0.0457,-1.5786,-0.6248,-1.635,-1.1617,-1.7606,-0.774,0.2678,0.3806,-1.4885,-0.6116,-1.2518,-1.7697,-1.5282,-0.7311,-0.1942,-1.1993,-0.0404,-0.4542,-1.726,-0.3484,-0.1797,0.8473,0.7432,-0.5169,-1.1716,-1.6245,-1.209,-1.113,-1.5045,-1.1498,1.1569,-0.7724,-0.8022,-1.1258,-0.5463,-0.0736,-1.2135,0.737,0.4444,-1.21,-1.2221,-1.1733,-1.7061,-0.3027,-1.4469,-1.1429,-0.8779,0.9669,-0.802,0.5741,0.2044,-1.236,-0.0984,-0.4802,-0.4839,-1.0625,-1.8603,-0.6877,-1.5049,-1.1759,1.2773,-0.6621,-1.2718,-1.3934,-1.4648,0.6891,0.3964,0.8295,-1.5741,-1.1603,-1.4597,0.4817,-0.573,-0.6032,-1.2499,-0.6657,-1.3707,-1.4479,-1.6928,-0.1921,-0.9022,-0.6529,0.1604,0.1774,0.2827,-0.8802,-1.1475,-1.4145,-0.8935,-1.7953,0.75,0.3369,-0.2211,-0.568,1.2685,-1.1464,0.6649,-1.3416,-1.6603,-0.5559,-1.3949,-1.5807,-0.4722,-1.4167,0.3839,-0.9089,-2.0014,0.1984,-1.1157,-0.4748,1.1824,-1.0531,0.3362,-1.5289,-0.0374,-0.4136,-0.883,0.307,-0.9309,-1.1879,1.6285,1.2735,-0.331,-0.5255,-0.3398,-1.5001,-0.6691,-0.7937,-0.634,-0.851,-0.7431,-1.1395,0.1403,0.4538,-1.3833,-0.6873,0.4093,0.0368,-1.3154,-0.7953,-1.2527,-0.31,-0.9534,-0.9606,1.3566,-1.1154,-1.4918,0.8012,0.362,-0.5306,-1.5449,-0.0101,0.5161,1.4337,-1.236,-0.2963,0.7499,-1.2099,-1.0795,0.0095,1.0283,-1.0043,-1.163,-1.7818,0.1665,-0.9211,-1.6024,-1.7781,-1.5895,-1.5476,0.7115,-1.2919,-1.3559,0.2794,-0.9325,-0.5809,-1.2241,1.0018,-1.212,-0.5869,-1.4313,-0.2287,-1.1938,-0.8406,-0.308,-1.2025,-0.9368,0.4701,-0.4373,-1.4102,-1.4391,0.3148,-1.5809,0.7727,-1.4968,-0.3477,-0.3215,-1.3961,-0.7582,0.7108,0.0713,-0.6418,-0.1085,-0.7882,0.3268,-0.6398,-1.0476,-1.4627,1.0994,-1.0615,-0.4492,-1.0938,0.2371,-1.4925,-1.7877,-0.3878,-0.6138,-0.705,-1.0673,-0.0338,-1.6422,0.5659,-1.4873,0.0469,-1.8805,-1.2008,0.7447,-1.1088,-1.5371,-0.9196,-1.1072,-1.6031,-1.453,-1.2024,1.3815,-1.0265,1.0489,0.2115,1.1225,1.0579,-1.3563,-1.0053,0.9915,0.887,-0.7155,-0.8855,-0.9165,-1.5179,-0.0759,-1.1316,-0.714,-1.1838,-1.7575,2.2603,-0.536,-0.9419,-1.1779,-1.7683,-0.8342,0.2838,0.7533,-0.0039,-0.8291,0.2636,-0.9115,-1.6552,-1.6039,-0.8989,-1.2408,0.9446,-1.1027,-1.2583,0.6406,-0.4562,0.2777,-1.2341,-0.9699,-1.843,0.1772,0.2709,-0.6352,-1.6971,0.0781,-0.9995,0.8879,-0.4978,-1.2345,0.3534,-1.5487,-0.0356,-1.4335,-1.2485,-1.0822,0.9702,-0.6936,-0.7242,-0.8432,-0.4759,-1.1397,-0.7406,0.4247,-1.153,-0.7648,-1.3447,-1.5214,-1.294,0.1584,0.0549,-1.4345,0.6568,-0.019,0.2154,0.6594,-0.5236,-0.7904,-1.4134,-0.5979,-0.4197,0.2915,-1.105,-1.199,-0.2277,1.1028,-1.6064,-0.1976,-0.7595,-0.4502,-0.7906,-0.2353,0.3772,-0.8186,0.059,0.3949,-1.0785,-1.1781,-1.3909,-0.2711,-0.4564,0.8693,-1.2026,0.8799,-1.2576,-1.2705,0.4438,2.0427,-1.2729,1.6874,-1.3581,-0.8633,-0.9034,1.1213,-0.2064,-1.2781,-0.8283,-0.7489,-0.4956,-0.0846,-0.1506,0.5273,0.0333,1.05,-0.3715,-0.3322,-0.4859,-1.5149,-1.4079,1.5254,-0.5868,-0.3121,-1.5111,-1.3534,-1.4655,0.8602,-1.4596,-0.6404,-1.5014,1.2711,-0.1842,-0.6664,-1.1868,-0.5192,0.1014,0.153,-0.3601,0.5061,0.7672,1.9934,0.8649,-1.1428,-0.237,0.6305,-0.9829,0.93,-0.3188,-0.9078,1.8192,0.7839,-0.1843,-1.3069,-0.9352,0.4605,0.5294,1.187,1.2076,-0.7623,-0.3753,0.0346,-0.6339,-0.5793,0.2249,1.5308,0.4623,-0.3335,-0.0529,1.4245,0.2519,0.9847,-0.1384,-1.4127,0.1011,0.6939,0.1356,-1.4099,0.9772,0.9448,-0.4836,-0.2602,-0.8563,0.074,-0.4306,-1.44,0.8356,0.9641,1.0821,0.1661,1.1843,0.7916,-0.4182,0.7066,-0.5817,0.3189,0.0807,0.585,0.5441,0.8177,-0.6308,-0.0535,0.3555,-0.7713,0.4083,-1.061,-0.0196,0.7087,0.7992,-0.6334,0.2123,1.097,-1.2686,0.2741,-0.0772,0.7601,-0.114,0.2497,1.1895,0.1961,0.6457,0.3088,1.1903,0.6538,0.3033,1.0202,0.101,1.2804,0.6042,1.6005,0.3226,0.061,0.2357,-0.8613,0.011,-0.564,0.0525,0.8124,0.6334,-0.0875,0.6584,0.9915,-1.4978,-0.9524,0.4118,0.9558,0.1497,-1.5044,0.9546,1.4259,0.7396,0.2176,0.4067,0.3544,1.3762,-0.0362,0.8337,-1.7237,-0.0943,0.8481,-1.0266,0.812,-1.4442,-1.3517,-0.8247,0.7628,0.2021,0.8524,0.6181,0.952,-0.1193,0.4316,0.297,0.7533,0.7527,0.2313,-1.0705,1.1633,1.2287,-1.4385,-1.3697,-0.8501,0.2805,-0.5508,-1.5483,1.1845,0.3225,0.0854,1.5639,1.6814,0.4131,-0.3812,1.0851,-0.2669,-1.5428,0.0162,-0.7769,0.5181,1.5009,-0.5413,0.5299,-0.0483,-0.2453,-0.1137,0.827,-0.5489,0.513,0.9369,1.3243,0.6102,0.7468,1.2376,1.0107,1.3353,-0.9337,1.0352,0.9779,0.8477,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then i put together this data eaaAgilenBtb = Transpose[{eaBTBD3, eaAGILENT}]; after that i create an associated data, made the predictor and the training set and test set asoeaaAgilenBtb = MapThread[Rule, eaaAgilenBtb // Transpose]; peaAgilenBtb = Predict[asoeaaAgilenBtb] aleatoeaAgilenBtb = RandomSample[ asoeaaAgilenBtb];(*elemetos aleatorios de asoeaaAgilenBtb*) traineaAgilenBtb = aleatoeaAgilenBtb[[ 241 ;;]];(*los ultimos 240 de los elemetos aleotorizados*) testeaAgilenBtb = aleatoeaAgilenBtb[[;; 240]];(*los primeros 964 de los elemetos aleotorizados. No se \ porque funciono al poner el numro 241*) Intersection[traineaAgilenBtb, testeaAgilenBtb] {} peaAgilenBtbTest = Predict[traineaAgilenBtb] But the ComparisonPlot and the data is never the same or even similar when i reevaluete the data comparaaAgilenBtb = PredictorMeasurements[peaAgilenBtbTest, testeaAgilenBtb] comparaaAgilenBtb["ComparisonPlot"] here some examples of the ComparisonPlots the Plots shows different results, also Show[Plot[{ peaAgilenBtbTest[x], peaAgilenBtbTest[x] + StandardDeviation[peaAgilenBtbTest[x, "Distribution"]], peaAgilenBtbTest[x] - StandardDeviation[peaAgilenBtbTest[x, "Distribution"]]}, {x, -2, 3}, PlotStyle -> {Blue, Gray, Gray}, Filling -> {2 -> {3}}, Exclusions -> None, PlotLegends -> Placed[{"Prediction", "Confidence Interval"}, Above], PlotRange -> {{-2, 3}, {-4, 4}}, Frame -> True, FrameLabel -> {"BTBD3", "Agilen"}, PlotLabel -> ""], ListPlot[List @@@ asoeaaAgilenBtb, PlotStyle -> Red, PlotLegends -> Placed[{"Data"}, Above]], BaseStyle -> 13] here some examples.and when i reevaluate. So, i would like to know if there is something wrong whit my work flow or it something else, i will appreciate any advice Attachments: