=== Classifier model (full training set) === Naive Bayes Classifier Class Attribute JMML normal (0.79) (0.21) ============================================== 1007_s_at mean 6.0947 6.0885 std. dev. 0.4147 0.367 weight sum 37 9 precision 0.0436 0.0436 1053_at mean 7.7041 7.6156 std. dev. 0.6002 0.3452 weight sum 37 9 precision 0.0518 0.0518 117_at mean 6.6879 6.9118 std. dev. 0.7638 0.68 weight sum 37 9 precision 0.0721 0.0721 121_at mean 7.9116 7.9544 std. dev. 0.3495 0.3558 weight sum 37 9 precision 0.0335 0.0335 1255_g_at mean 2.9154 2.8814 std. dev. 0.1453 0.1452 weight sum 37 9 precision 0.0159 0.0159 1294_at mean 7.9441 7.9567 std. dev. 0.4542 0.4127 weight sum 37 9 precision 0.0465 0.0465 1316_at mean 5.8947 6.092 std. dev. 0.4094 0.3009 weight sum 37 9 precision 0.0526 0.0526 1320_at mean 4.3335 4.2671 std. dev. 0.2568 0.1975 weight sum 37 9 precision 0.0228 0.0228 1405_i_at mean 9.1595 8.8197 std. dev. 0.959 1.0116 weight sum 37 9 precision 0.1 0.1 1431_at mean 3.9625 3.9202 std. dev. 0.1779 0.1249 weight sum 37 9 precision 0.0227 0.0227 1438_at mean 5.6935 5.7848 std. dev. 0.2124 0.1851 weight sum 37 9 precision 0.0234 0.0234 1487_at mean 7.6198 7.7113 std. dev. 0.2886 0.198 weight sum 37 9 precision 0.0276 0.0276 1494_f_at mean 6.1354 6.094 std. dev. 0.3653 0.3198 weight sum 37 9 precision 0.0281 0.0281 1552256_a_at mean 7.0996 6.6265 std. dev. 0.55 0.4378 weight sum 37 9 precision 0.051 0.051 1552257_a_at mean 7.8225 7.7845 std. dev. 0.7212 0.5326 weight sum 37 9 precision 0.0707 0.0707 1552258_at mean 5.4231 5.346 std. dev. 0.6099 0.2995 weight sum 37 9 precision 0.0573 0.0573 1552261_at mean 3.9415 4.223 std. dev. 0.2962 0.3157 weight sum 37 9 precision 0.0367 0.0367 1552263_at mean 8.271 8.769 std. dev. 0.9006 0.3554 weight sum 37 9 precision 0.0832 0.0832 1552264_a_at mean 9.0836 9.8315 std. dev. 0.6046 0.3272 weight sum 37 9 precision 0.0558 0.0558 1552266_at mean 2.9942 3.0053 std. dev. 0.1672 0.1949 weight sum 37 9 precision 0.0192 0.0192 1552269_at mean 3.2005 3.1552 std. dev. 0.1749 0.125 weight sum 37 9 precision 0.0222 0.0222 1552271_at mean 5.8076 5.8847 std. dev. 0.2902 0.2791 weight sum 37 9 precision 0.0263 0.0263 1552272_a_at mean 5.1174 5.0902 std. dev. 0.2397 0.1598 weight sum 37 9 precision 0.025 0.025 1552274_at mean 8.3419 8.4322 std. dev. 0.4302 0.3014 weight sum 37 9 precision 0.0428 0.0428 1552275_s_at mean 7.9692 8.6539 std. dev. 0.5145 0.3079 weight sum 37 9 precision 0.0613 0.0613 1552276_a_at mean 6.0716 6.1686 std. dev. 0.4472 0.2146 weight sum 37 9 precision 0.0423 0.0423 1552277_a_at mean 7.3658 7.152 std. dev. 0.5848 0.3161 weight sum 37 9 precision 0.0625 0.0625 1552278_a_at mean 3.3919 3.5389 std. dev. 0.1726 0.1111 weight sum 37 9 precision 0.0174 0.0174 1552279_a_at mean 6.4919 6.7402 std. dev. 0.2892 0.341 weight sum 37 9 precision 0.036 0.036 1552280_at mean 4.2762 3.9815 std. dev. 0.8881 0.5575 weight sum 37 9 precision 0.0891 0.0891 1552281_at mean 5.9288 5.9656 std. dev. 0.3722 0.3366 weight sum 37 9 precision 0.0365 0.0365 1552283_s_at mean 3.8081 3.6589 std. dev. 0.2747 0.1541 weight sum 37 9 precision 0.0237 0.0237 1552286_at mean 5.6261 5.7919 std. dev. 0.3175 0.2487 weight sum 37 9 precision 0.0345 0.0345 1552287_s_at mean 6.6196 6.8228 std. dev. 0.8287 0.5305 weight sum 37 9 precision 0.0773 0.0773 1552288_at mean 4.1441 4.1908 std. dev. 0.3202 0.2279 weight sum 37 9 precision 0.03 0.03 1552289_a_at mean 4.832 4.8956 std. dev. 0.3773 0.2742 weight sum 37 9 precision 0.041 0.041 1552291_at mean 6.0262 5.8993 std. dev. 0.5669 0.6172 weight sum 37 9 precision 0.0602 0.0602 1552293_at mean 4.7936 4.7925 std. dev. 0.2461 0.1105 weight sum 37 9 precision 0.0237 0.0237 1552295_a_at mean 6.9206 6.9625 std. dev. 0.4469 0.3139 weight sum 37 9 precision 0.0429 0.0429 1552296_at mean 3.4291 3.491 std. dev. 0.2268 0.1863 weight sum 37 9 precision 0.025 0.025 1552299_at mean 4.0571 4.0376 std. dev. 0.2315 0.2036 weight sum 37 9 precision 0.0244 0.0244 1552301_a_at mean 4.5455 4.5154 std. dev. 0.2368 0.1861 weight sum 37 9 precision 0.0248 0.0248 1552302_at mean 4.3651 3.9299 std. dev. 0.6888 0.3122 weight sum 37 9 precision 0.0838 0.0838 1552303_a_at mean 6.228 5.969 std. dev. 0.3601 0.2592 weight sum 37 9 precision 0.0474 0.0474 1552304_at mean 3.7372 3.7078 std. dev. 0.3398 0.1719 weight sum 37 9 precision 0.0457 0.0457 1552306_at mean 4.0731 3.8716 std. dev. 0.5004 0.4261 weight sum 37 9 precision 0.0537 0.0537 1552307_a_at mean 6.2453 6.0645 std. dev. 0.4963 0.3118 weight sum 37 9 precision 0.0516 0.0516 1552309_a_at mean 5.0644 4.6674 std. dev. 0.835 0.9919 weight sum 37 9 precision 0.0868 0.0868 1552310_at mean 6.5076 6.257 std. dev. 0.5317 0.6153 weight sum 37 9 precision 0.0543 0.0543 1552311_a_at mean 7.4921 7.4303 std. dev. 0.2234 0.1969 weight sum 37 9 precision 0.0184 0.0184 1552312_a_at mean 5.5412 5.935 std. dev. 0.662 0.8806 weight sum 37 9 precision 0.08 0.08 1552314_a_at mean 5.53 5.7943 std. dev. 0.551 0.4065 weight sum 37 9 precision 0.0486 0.0486 1552315_at mean 6.4605 6.4779 std. dev. 0.5422 0.469 weight sum 37 9 precision 0.0545 0.0545 1552316_a_at mean 5.9718 5.7962 std. dev. 0.8805 0.9637 weight sum 37 9 precision 0.0938 0.0938 1552318_at mean 5.3317 5.1665 std. dev. 0.8112 0.5975 weight sum 37 9 precision 0.0811 0.0811 1552319_a_at mean 4.1381 4.1806 std. dev. 0.2646 0.2008 weight sum 37 9 precision 0.0307 0.0307 1552320_a_at mean 3.6267 3.6101 std. dev. 0.2718 0.2378 weight sum 37 9 precision 0.0249 0.0249 1552321_a_at mean 3.0759 3.0621 std. dev. 0.2645 0.2169 weight sum 37 9 precision 0.0238 0.0238 1552322_at mean 3.0146 3.0349 std. dev. 0.285 0.1533 weight sum 37 9 precision 0.0313 0.0313 1552323_s_at mean 4.9735 5.1103 std. dev. 0.5524 0.4966 weight sum 37 9 precision 0.0498 0.0498 1552325_at mean 2.7235 2.7535 std. dev. 0.1285 0.106 weight sum 37 9 precision 0.014 0.014 1552326_a_at mean 4.3193 4.2526 std. dev. 0.3452 0.2846 weight sum 37 9 precision 0.0361 0.0361 1552327_at mean 3.3388 3.2884 std. dev. 0.2982 0.2354 weight sum 37 9 precision 0.0351 0.0351 1552329_at mean 7.8319 8.1332 std. dev. 0.8525 0.7089 weight sum 37 9 precision 0.0838 0.0838 1552330_at mean 4.2253 4.2242 std. dev. 0.7023 0.5909 weight sum 37 9 precision 0.0888 0.0888 1552332_at mean 7.255 7.2683 std. dev. 0.2964 0.2902 weight sum 37 9 precision 0.0263 0.0263 1552334_at mean 5.2408 5.6306 std. dev. 0.5288 0.1931 weight sum 37 9 precision 0.0497 0.0497 1552335_at mean 6.4075 6.3115 std. dev. 0.5497 0.1834 weight sum 37 9 precision 0.0516 0.0516 1552337_s_at mean 4.2847 4.2479 std. dev. 0.4024 0.2998 weight sum 37 9 precision 0.0364 0.0364 1552338_at mean 4.332 4.3333 std. dev. 0.2778 0.2005 weight sum 37 9 precision 0.0306 0.0306 1552340_at mean 4.6727 4.8659 std. dev. 0.2901 0.2464 weight sum 37 9 precision 0.0233 0.0233 1552343_s_at mean 5.0016 4.8549 std. dev. 0.5132 0.3067 weight sum 37 9 precision 0.0556 0.0556 1552344_s_at mean 7.2937 7.0754 std. dev. 0.3875 0.581 weight sum 37 9 precision 0.0389 0.0389 1552347_at mean 6.8989 7.0598 std. dev. 0.5615 0.4202 weight sum 37 9 precision 0.0614 0.0614 1552348_at mean 8.7266 9.59 std. dev. 0.6082 0.8498 weight sum 37 9 precision 0.0677 0.0677 1552349_a_at mean 5.2848 5.8226 std. dev. 0.5633 0.6229 weight sum 37 9 precision 0.0591 0.0591 1552354_at mean 4.992 4.9469 std. dev. 0.468 0.3639 weight sum 37 9 precision 0.0372 0.0372 1552355_s_at mean 5.3451 5.3302 std. dev. 0.3092 0.2123 weight sum 37 9 precision 0.0277 0.0277 1552359_at mean 2.9452 2.9115 std. dev. 0.1338 0.112 weight sum 37 9 precision 0.0147 0.0147 1552360_a_at mean 5.2674 5.6002 std. dev. 0.5913 0.4636 weight sum 37 9 precision 0.0665 0.0665 1552362_a_at mean 4.7326 4.5164 std. dev. 0.4023 0.4625 weight sum 37 9 precision 0.0457 0.0457 1552364_s_at mean 5.9149 5.7909 std. dev. 0.4234 0.2814 weight sum 37 9 precision 0.0463 0.0463 1552365_at mean 3.0417 2.9364 std. dev. 0.7376 0.2053 weight sum 37 9 precision 0.1005 0.1005 1552367_a_at mean 3.0621 2.9921 std. dev. 0.3103 0.1569 weight sum 37 9 precision 0.0315 0.0315 1552368_at mean 3.1132 3.0821 std. dev. 0.2098 0.177 weight sum 37 9 precision 0.0243 0.0243 1552370_at mean 6.8275 6.6136 std. dev. 0.611 0.5719 weight sum 37 9 precision 0.0567 0.0567 1552372_at mean 2.5608 2.628 std. dev. 0.1263 0.2029 weight sum 37 9 precision 0.0158 0.0158 1552373_s_at mean 2.909 2.8336 std. dev. 0.1513 0.1269 weight sum 37 9 precision 0.015 0.015 1552375_at mean 4.6556 4.5619 std. dev. 0.3071 0.3504 weight sum 37 9 precision 0.0382 0.0382 1552377_s_at mean 6.5067 6.5972 std. dev. 0.2823 0.2922 weight sum 37 9 precision 0.0278 0.0278 1552378_s_at mean 3.9505 4.0236 std. dev. 0.2712 0.23 weight sum 37 9 precision 0.0314 0.0314 1552379_at mean 2.6373 2.5903 std. dev. 0.1134 0.108 weight sum 37 9 precision 0.011 0.011 1552381_at mean 3.273 3.3068 std. dev. 0.2085 0.2259 weight sum 37 9 precision 0.0206 0.0206 1552383_at mean 7.1748 7.0606 std. dev. 0.5212 0.226 weight sum 37 9 precision 0.0472 0.0472 1552384_a_at mean 4.8801 4.7347 std. dev. 0.3259 0.1833 weight sum 37 9 precision 0.0308 0.0308 1552386_at mean 7.3823 8.1944 std. dev. 1.053 0.6937 weight sum 37 9 precision 0.0998 0.0998 1552388_at mean 6.3395 6.4212 std. dev. 0.2241 0.2543 weight sum 37 9 precision 0.0243 0.0243 1552389_at mean 3.036 2.9145 std. dev. 0.2406 0.1445 weight sum 37 9 precision 0.0256 0.0256 1552390_a_at mean 2.79 2.7955 std. dev. 0.1243 0.1056 weight sum 37 9 precision 0.0136 0.0136 1552391_at mean 3.6969 3.7508 std. dev. 0.1992 0.1837 weight sum 37 9 precision 0.0164 0.0164 1552393_at mean 2.8489 2.7578 std. dev. 0.1395 0.1479 weight sum 37 9 precision 0.0152 0.0152 1552394_a_at mean 3.0303 3.0479 std. dev. 0.124 0.1753 weight sum 37 9 precision 0.0137 0.0137 1552395_at mean 7.6552 7.5648 std. dev. 0.4437 0.531 weight sum 37 9 precision 0.0381 0.0381 1552396_at mean 4.2726 4.3894 std. dev. 0.336 0.208 weight sum 37 9 precision 0.0332 0.0332 1552398_a_at mean 9.0428 9.9196 std. dev. 1.1206 0.4412 weight sum 37 9 precision 0.1001 0.1001 1552399_a_at mean 4.364 4.3046 std. dev. 0.2459 0.1599 weight sum 37 9 precision 0.0257 0.0257 1552400_a_at mean 4.1106 4.238 std. dev. 0.3061 0.2039 weight sum 37 9 precision 0.0364 0.0364 1552401_a_at mean 3.0718 3.1501 std. dev. 0.1564 0.2622 weight sum 37 9 precision 0.0183 0.0183 1552402_at mean 3.8048 3.7189 std. dev. 0.3319 0.184 weight sum 37 9 precision 0.0296 0.0296 1552405_at mean 4.9445 4.9026 std. dev. 0.2372 0.208 weight sum 37 9 precision 0.0254 0.0254 1552408_at mean 3.526 3.3392 std. dev. 0.2362 0.2344 weight sum 37 9 precision 0.027 0.027 1552409_a_at mean 6.5927 6.5062 std. dev. 0.363 0.2522 weight sum 37 9 precision 0.0306 0.0306 1552410_at mean 4.5192 4.6723 std. dev. 0.2261 0.3063 weight sum 37 9 precision 0.0216 0.0216 1552411_at mean 6.1976 6.6356 std. dev. 0.295 0.3128 weight sum 37 9 precision 0.0343 0.0343 1552412_a_at mean 3.629 3.7168 std. dev. 0.1483 0.2632 weight sum 37 9 precision 0.0223 0.0223 1552414_at mean 3.354 3.4408 std. dev. 0.2491 0.2201 weight sum 37 9 precision 0.0231 0.0231 1552415_a_at mean 4.7739 4.8296 std. dev. 0.2356 0.1897 weight sum 37 9 precision 0.0231 0.0231 1552417_a_at mean 6.5951 6.6422 std. dev. 0.6389 0.5518 weight sum 37 9 precision 0.0653 0.0653 1552418_at mean 4.8502 4.7502 std. dev. 0.2921 0.3658 weight sum 37 9 precision 0.0278 0.0278 1552419_s_at mean 5.5888 5.6419 std. dev. 0.2494 0.3869 weight sum 37 9 precision 0.0244 0.0244 1552421_a_at mean 3.5399 3.5722 std. dev. 0.227 0.1638 weight sum 37 9 precision 0.0203 0.0203 1552422_at mean 4.4513 4.1686 std. dev. 0.4057 0.3447 weight sum 37 9 precision 0.0388 0.0388 1552423_at mean 6.4904 6.4258 std. dev. 0.7066 0.7899 weight sum 37 9 precision 0.076 0.076 1552424_at mean 3.4285 3.4071 std. dev. 0.2218 0.2469 weight sum 37 9 precision 0.0211 0.0211 1552425_a_at mean 3.9215 3.9177 std. dev. 0.2149 0.1624 weight sum 37 9 precision 0.0236 0.0236 1552426_a_at mean 8.7576 8.6512 std. dev. 0.5903 0.4993 weight sum 37 9 precision 0.0594 0.0594 1552427_at mean 2.918 2.7943 std. dev. 0.2077 0.18 weight sum 37 9 precision 0.0243 0.0243 1552430_at mean 2.7824 2.7692 std. dev. 0.1369 0.1069 weight sum 37 9 precision 0.0165 0.0165 1552432_at mean 5.9581 5.9828 std. dev. 0.242 0.2074 weight sum 37 9 precision 0.0214 0.0214 1552436_a_at mean 5.1412 5.1188 std. dev. 0.2939 0.2831 weight sum 37 9 precision 0.0281 0.0281 1552438_a_at mean 3.2596 3.3036 std. dev. 0.289 0.2895 weight sum 37 9 precision 0.0275 0.0275 1552439_s_at mean 2.8752 2.8938 std. dev. 0.4428 0.1351 weight sum 37 9 precision 0.0596 0.0596 1552440_at mean 3.9497 3.9686 std. dev. 0.2225 0.1674 weight sum 37 9 precision 0.0195 0.0195 1552445_a_at mean 3.5042 3.5943 std. dev. 0.1703 0.1952 weight sum 37 9 precision 0.0163 0.0163 1552448_a_at mean 3.5974 3.582 std. dev. 0.2339 0.229 weight sum 37 9 precision 0.0226 0.0226 1552449_a_at mean 3.4782 3.6185 std. dev. 0.1803 0.2359 weight sum 37 9 precision 0.0267 0.0267 1552450_a_at mean 5.065 4.8834 std. dev. 0.3169 0.1717 weight sum 37 9 precision 0.0271 0.0271 1552452_at mean 3.3433 3.3417 std. dev. 0.159 0.1613 weight sum 37 9 precision 0.017 0.017 1552453_a_at mean 3.5853 3.6281 std. dev. 0.2205 0.2009 weight sum 37 9 precision 0.0227 0.0227 1552455_at mean 3.0143 3.0123 std. dev. 0.1498 0.1927 weight sum 37 9 precision 0.0156 0.0156 1552456_a_at mean 4.8987 4.7854 std. dev. 0.2486 0.166 weight sum 37 9 precision 0.0236 0.0236 1552457_a_at mean 3.564 3.5717 std. dev. 0.1907 0.1139 weight sum 37 9 precision 0.0164 0.0164 1552458_at mean 2.9551 2.8975 std. dev. 0.2541 0.2153 weight sum 37 9 precision 0.0251 0.0251 1552459_a_at mean 3.9885 4.2166 std. dev. 0.2192 0.2517 weight sum 37 9 precision 0.0255 0.0255 1552461_at mean 2.9013 2.9858 std. dev. 0.1753 0.1498 weight sum 37 9 precision 0.0174 0.0174 1552463_at mean 3.4143 3.2902 std. dev. 0.2446 0.1777 weight sum 37 9 precision 0.0233 0.0233 1552466_x_at mean 3.3055 3.2757 std. dev. 0.2016 0.1805 weight sum 37 9 precision 0.0196 0.0196 1552467_at mean 5.8286 5.806 std. dev. 0.2125 0.1278 weight sum 37 9 precision 0.0222 0.0222 1552468_a_at mean 5.5273 5.7206 std. dev. 0.3125 0.3003 weight sum 37 9 precision 0.0318 0.0318 1552470_a_at mean 3.8766 3.8671 std. dev. 0.3752 0.238 weight sum 37 9 precision 0.0343 0.0343 1552472_a_at mean 8.493 8.8081 std. dev. 0.5215 0.3823 weight sum 37 9 precision 0.0518 0.0518 1552473_at mean 8.1579 8.2059 std. dev. 0.3584 0.276 weight sum 37 9 precision 0.0344 0.0344 1552474_a_at mean 7.244 6.8302 std. dev. 0.4595 0.3895 weight sum 37 9 precision 0.0476 0.0476 1552476_s_at mean 5.8922 5.9446 std. dev. 0.6351 0.4186 weight sum 37 9 precision 0.0527 0.0527 1552477_a_at mean 3.6071 3.8307 std. dev. 0.2908 0.3944 weight sum 37 9 precision 0.0404 0.0404 1552478_a_at mean 3.2753 3.4469 std. dev. 0.2225 0.2163 weight sum 37 9 precision 0.0236 0.0236 1552480_s_at mean 4.0239 5.4303 std. dev. 1.1873 1.2389 weight sum 37 9 precision 0.1192 0.1192 1552481_s_at mean 3.4203 3.5801 std. dev. 0.1643 0.2206 weight sum 37 9 precision 0.0185 0.0185 1552482_at mean 3.0289 2.9048 std. dev. 0.1985 0.1754 weight sum 37 9 precision 0.0168 0.0168 1552484_at mean 6.631 6.6949 std. dev. 0.4859 0.4417 weight sum 37 9 precision 0.0367 0.0367 1552485_at mean 6.9509 7.6065 std. dev. 0.6908 0.539 weight sum 37 9 precision 0.0771 0.0771 1552486_s_at mean 7.491 7.8541 std. dev. 0.6915 0.5498 weight sum 37 9 precision 0.0627 0.0627 1552487_a_at mean 2.7343 2.8309 std. dev. 0.1348 0.1967 weight sum 37 9 precision 0.0143 0.0143 1552489_s_at mean 2.7 2.6487 std. dev. 0.1549 0.1472 weight sum 37 9 precision 0.0154 0.0154 1552490_at mean 3.3948 3.2574 std. dev. 0.2315 0.0743 weight sum 37 9 precision 0.0212 0.0212 1552491_at mean 5.444 5.2902 std. dev. 0.2073 0.1346 weight sum 37 9 precision 0.0192 0.0192 1552493_s_at mean 3.8031 3.7521 std. dev. 0.2117 0.1881 weight sum 37 9 precision 0.022 0.022 1552494_at mean 4.9766 5.168 std. dev. 0.3408 0.2616 weight sum 37 9 precision 0.0313 0.0313 1552496_a_at mean 3.8534 3.9611 std. dev. 0.2516 0.1691 weight sum 37 9 precision 0.0233 0.0233 1552497_a_at mean 5.4225 5.3406 std. dev. 0.5979 0.567 weight sum 37 9 precision 0.0675 0.0675 1552498_at mean 3.6961 3.6086 std. dev. 0.2153 0.1609 weight sum 37 9 precision 0.0217 0.0217 1552499_a_at mean 3.6524 3.8639 std. dev. 0.2171 0.2919 weight sum 37 9 precision 0.0309 0.0309 1552501_a_at mean 6.784 6.4867 std. dev. 0.5034 0.2926 weight sum 37 9 precision 0.0507 0.0507 1552502_s_at mean 3.1394 3.1004 std. dev. 0.1751 0.123 weight sum 37 9 precision 0.0183 0.0183 1552503_at mean 4.895 5.0026 std. dev. 0.2304 0.2198 weight sum 37 9 precision 0.0222 0.0222 1552504_a_at mean 5.0052 4.7831 std. dev. 0.5105 0.3653 weight sum 37 9 precision 0.04 0.04 1552506_at mean 4.1948 4.1233 std. dev. 0.1857 0.2498 weight sum 37 9 precision 0.0224 0.0224 1552507_at mean 4.0172 4.146 std. dev. 0.2438 0.1518 weight sum 37 9 precision 0.0239 0.0239 1552508_at mean 3.7756 3.7626 std. dev. 0.2495 0.0863 weight sum 37 9 precision 0.0305 0.0305 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4.0554 std. dev. 1.5974 1.4033 weight sum 37 9 precision 0.1294 0.1294 AFFX-r2-Bs-lys-5_at mean 4.1024 4.2628 std. dev. 1.834 1.7171 weight sum 37 9 precision 0.1287 0.1287 AFFX-r2-Bs-lys-M_at mean 4.0574 4.1701 std. dev. 1.7036 1.6195 weight sum 37 9 precision 0.1247 0.1247 AFFX-r2-Bs-phe-3_at mean 6.18 6.3981 std. dev. 1.3756 1.3309 weight sum 37 9 precision 0.1045 0.1045 AFFX-r2-Bs-phe-5_at mean 4.2661 4.448 std. dev. 1.966 1.8737 weight sum 37 9 precision 0.1343 0.1343 AFFX-r2-Bs-phe-M_at mean 4.4212 4.5902 std. dev. 1.9684 1.8616 weight sum 37 9 precision 0.1386 0.1386 AFFX-r2-Bs-thr-3_s_at mean 5.0443 5.419 std. dev. 2.1003 2.1095 weight sum 37 9 precision 0.1456 0.1456 AFFX-r2-Bs-thr-5_s_at mean 4.2728 4.7289 std. dev. 1.3778 1.551 weight sum 37 9 precision 0.1114 0.1114 AFFX-r2-Bs-thr-M_s_at mean 6.0503 6.508 std. dev. 1.4619 1.6345 weight sum 37 9 precision 0.1171 0.1171 AFFX-r2-Ec-bioB-3_at mean 8.8702 8.7501 std. dev. 0.3121 0.1803 weight sum 37 9 precision 0.0349 0.0349 AFFX-r2-Ec-bioB-5_at mean 9.4334 9.3301 std. dev. 0.3762 0.2806 weight sum 37 9 precision 0.0436 0.0436 AFFX-r2-Ec-bioB-M_at mean 9.2131 9.2053 std. dev. 0.3503 0.1615 weight sum 37 9 precision 0.0374 0.0374 AFFX-r2-Ec-bioC-3_at mean 10.8007 10.7734 std. dev. 0.3681 0.1505 weight sum 37 9 precision 0.043 0.043 AFFX-r2-Ec-bioC-5_at mean 10.4077 10.368 std. dev. 0.398 0.2491 weight sum 37 9 precision 0.0445 0.0445 AFFX-r2-Ec-bioD-3_at mean 12.9762 12.8832 std. dev. 0.2261 0.1449 weight sum 37 9 precision 0.0283 0.0283 AFFX-r2-Ec-bioD-5_at mean 12.2945 12.2786 std. dev. 0.2178 0.1391 weight sum 37 9 precision 0.0284 0.0284 AFFX-r2-P1-cre-3_at mean 14.1025 14.1636 std. dev. 0.1006 0.0773 weight sum 37 9 precision 0.01 0.01 AFFX-r2-P1-cre-5_at mean 14.0121 14.054 std. dev. 0.109 0.0676 weight sum 37 9 precision 0.0111 0.0111 AFFX-ThrX-3_at mean 5.71 5.9581 std. dev. 1.6567 1.742 weight sum 37 9 precision 0.1238 0.1238 AFFX-ThrX-5_at mean 4.4116 4.8198 std. dev. 1.0573 1.1549 weight sum 37 9 precision 0.0864 0.0864 AFFX-ThrX-M_at mean 4.3836 4.8149 std. dev. 1.6517 1.717 weight sum 37 9 precision 0.1238 0.1238 AFFX-TrpnX-3_at mean 2.8539 2.7976 std. dev. 0.1212 0.0693 weight sum 37 9 precision 0.0108 0.0108 AFFX-TrpnX-5_at mean 3.6397 3.6551 std. dev. 0.1368 0.1326 weight sum 37 9 precision 0.0161 0.0161 AFFX-TrpnX-M_at mean 3.2436 3.3067 std. dev. 0.1032 0.0794 weight sum 37 9 precision 0.0095 0.0095 Time taken to build model: 0.42 seconds Time taken to test model on training data: 1.38 seconds === Error on training data === Correctly Classified Instances 46 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0 Root mean squared error 0 Relative absolute error 0 % Root relative squared error 0 % Total Number of Instances 46 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 JMML 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 37 0 | a = JMML 0 9 | b = normal Time taken to perform cross-validation: 2.04 seconds === Stratified cross-validation === Correctly Classified Instances 37 80.4348 % Incorrectly Classified Instances 9 19.5652 % Kappa statistic 0 Mean absolute error 0.1957 Root mean squared error 0.4423 Relative absolute error 59.9773 % Root relative squared error 111.3594 % Total Number of Instances 46 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,804 1,000 0,892 ? 0,500 0,804 JMML 0,000 0,000 ? 0,000 ? ? 0,500 0,196 normal Weighted Avg. 0,804 0,804 ? 0,804 ? ? 0,500 0,685 === Confusion Matrix === a b <-- classified as 37 0 | a = JMML 9 0 | b = normal