CLEAver prediction algorithm : May 2000


Cross-Validation suggests the accuracy of prediction on an independent test set exceeds 94.444444 %.


Predictions : 
Scores above 0 indicate likely positives; Scores below 0 indicate likely negative.  
Absolute value of score indicates certainty of prediction

name		score
urs1		   1.6530999e+00
urs2		   1.4962414e+00
urs3		   5.9993414e-01
urs4		   1.7616565e+00
urs5		  -9.3838855e-01
urs6		   7.3040236e-01
urs7		   5.4913668e-01
urs8		   9.8451389e-01
urs9		   1.4071374e+00
urs10		   1.7472725e+00
urs11		   1.4603855e+00
urs12		   1.2579106e+00
urs13		  -1.2144502e+00
mse1		  -1.4940657e+00
mse2		  -2.2307704e+00
mse3		  -2.4340682e+00
mse4		  -2.8846178e+00
mse5		  -2.1955678e+00
mse6		  -1.9023837e+00
mse7		  -2.6402085e+00
mse8		  -1.4047469e+00
mse9		  -5.1619161e-01
mse10		  -2.1716865e+00
mse11		  -3.4099010e+00
mse12		  -2.5250545e+00
mse13		  -1.4717582e+00
mse14		  -1.9282594e+00
mse15		  -2.2442453e+00
mse16		  -1.4369674e+00
mse17		  -2.7635078e+00
mse18		  -1.9303633e+00
mse19		  -2.1410474e+00
mse20		  -1.9995424e+00
mse21		  -2.8171055e+00
mse22		  -1.3782146e+00
mse23		  -1.9253037e+00


Predictive Strength of Features
Values are proportional to weight placed by Discriminant Analysis.
Absolute value indicates predictive power. Positive scores indicate that higher 
values for this feature will predict positive, negative scores indicate that 
high values for this feature will predict negative.
 Predictive power = weight*sd of feature ; beta = actual weight

feature		predictive power		weight
spo1		  -3.8759058e-03		  -2.1072508e-02
spo2		   1.6354218e-01		   1.5341587e-01
spo3		   1.7364895e-01		   1.6732710e-01
spo4		   1.4255312e-01		   9.4539403e-02
spo5		  -3.8220342e-02		  -2.7554750e-02
spo6		  -6.2600316e-02		  -6.1105415e-02
spo7		  -2.4835318e-01		  -1.7907914e-01
spo8		  -3.0550074e-01		  -1.9229684e-01
spo9		   2.8906324e-01		   2.7139371e-01
spo10		   2.9318237e-01		   2.0280106e-01
met1		  -2.2065676e-03		  -7.0949453e-03
met2		  -3.0970994e-03		  -1.0954551e-02
met3		   5.4575908e-03		   1.7726562e-02
met4		   4.9342549e-03		   1.6952744e-02
met5		   6.0801954e-03		   2.0040737e-02
met6		   1.6792621e-02		   2.8891831e-02
met7		   2.5104795e-02		   4.4587725e-02
t1		  -6.5335566e-04		  -8.3425813e-04
t2		  -5.0596145e-03		  -9.8448891e-03
y1		  -1.0872467e-03		  -7.4571991e-03
y2		  -9.6236089e-03		  -1.7769757e-02
cc		  -2.2606143e-02		  -3.5679676e-02
cc		  -5.2137109e-02		  -6.1567245e-02
cc		   0.0000000e+00		   0.0000000e+00
cc		   6.8089765e-03		   1.1122074e-02
cc		   1.6908821e-02		   3.0020238e-02
cc		   0.0000000e+00		   0.0000000e+00
cc		   2.6721393e-02		   5.5453416e-02
cc		   4.6154383e-03		   1.5316852e-02
cc		  -3.9897456e-04		  -6.3563119e-04
cc		  -9.3042076e-03		  -2.1047930e-02
cc		   8.0130821e-04		   2.5774747e-03
cc		  -2.8233514e-03		  -1.3812495e-02
cc		   3.0177640e-03		   1.1601671e-02
cc		   1.5410769e-03		   5.1865318e-03
cc		   3.7532516e-04		   1.1311127e-03
cc		   1.8729097e-03		   8.2382316e-03
cc		  -1.1083164e-02		  -2.2028256e-02
cc		  -9.1339935e-03		  -2.9657935e-02
cc		  -1.9558524e-03		  -1.1416275e-02
cc		  -6.9978703e-04		  -4.0556402e-03
cc		  -3.5061155e-03		  -1.3065063e-02
cc		  -7.0704728e-03		  -2.5750508e-02
cc		   8.0270152e-03		   2.3898280e-02
cc		   6.1741853e-03		   1.8423941e-02
cc		   0.0000000e+00		   0.0000000e+00
cc		   3.5646312e-03		   8.6421312e-03
cc		  -1.3565519e-03		  -2.6538581e-03
cc		  -7.5933712e-03		  -1.6739152e-02
cc		  -1.3579755e-02		  -2.8295390e-02
cc		   5.2793525e-03		   1.3652519e-02
cc		  -3.8867607e-04		  -7.0492866e-04
cc		   7.0683478e-03		   1.9155717e-02
cc		   6.1467176e-03		   1.4002428e-02
cc		   4.1676391e-03		   1.1391048e-02
cc		  -1.1187879e-04		  -3.7069414e-04
cc		   2.6430800e-03		   5.0431427e-03
cc		   6.4171872e-03		   1.2433194e-02
cc		  -3.1274545e-03		  -7.2257010e-03
cc		  -4.0720136e-03		  -1.4244860e-02
cc		  -3.6356184e-03		  -7.2363091e-03
cc		  -1.0211386e-02		  -2.4190402e-02
cc		   6.5598770e-03		   2.0816781e-02
cc		  -2.9155548e-03		  -7.7457831e-03
cc		  -1.1419865e-03		  -2.5642242e-03
cc		   1.5147982e-04		   3.2386241e-04
cc		   1.0692088e-02		   2.0525806e-02
cc		  -7.5346990e-03		  -2.1465072e-02
cc		   8.2018875e-04		   2.2068741e-03
cc		   1.8271123e-03		   4.9993602e-03
cc		   0.0000000e+00		   0.0000000e+00
cc		   2.7424870e-02		   3.2144059e-02
cc		   1.8536073e-02		   2.8413548e-02
cc		  -2.5983877e-02		  -3.8609221e-02
cc		  -6.9644152e-03		  -1.5885040e-02
cc		   7.0173492e-03		   1.6103041e-02
cc		   2.4351577e-03		   5.6533561e-03
cc		   6.8902769e-04		   1.7598273e-03
cc		   1.7580946e-02		   3.4158474e-02
cc		  -3.9047949e-03		  -9.9283309e-03
cc		   6.0932439e-03		   1.0824938e-02
cc		  -1.3578029e-02		  -3.1001965e-02
cc		  -9.6943350e-03		  -2.9921218e-02
cc		  -5.9187231e-03		  -1.7917091e-02
cc		  -2.0416096e-03		  -5.9203468e-03
cc		  -9.6688959e-04		  -2.2305698e-03
cc		   1.2214010e-02		   2.1497656e-02
cc		   2.9294374e-04		   5.1293086e-04
cc		   0.0000000e+00		   0.0000000e+00
cc		   3.5365624e-02		   6.0261692e-02
cc		   8.5394992e-03		   2.3521219e-02
cc		   7.0763852e-03		   1.6386056e-02
cc		   9.1066810e-03		   2.2757150e-02
cc		   4.8658163e-03		   1.6111105e-02
cc		  -6.5944536e-04		  -3.0393910e-03
cc		  -1.5825834e-03		  -7.9849339e-03
cc		  -7.7584218e-03		  -3.2224273e-02
cc		  -2.8301630e-03		  -1.1054767e-02
cc		  -1.0535052e-02		  -3.2609110e-02
cc		  -4.3739236e-03		  -1.2433325e-02
cc		  -7.8578910e-03		  -2.1611834e-02
cc		  -4.1381204e-03		  -1.0277147e-02
cc		  -1.7688980e-03		  -7.6048715e-03