Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.4220  0.0016  0.0925  0.488  0.6217  0.55
Anderszewski 2003   15  0.4629  0.0012  0.1411  0.6410  0.667  0.65
Ashkenazy 1981   63  0.3377  0.0061  0.0558  0.0558  0.0670  0.05
Bacha 2000   52  0.3468  0.0062  0.0555  0.0521  0.3848  0.14
Badura 1965   77  0.2869  0.0077  0.0463  0.0463  0.0481  0.04
Barbosa 1983   10  0.489  0.018  0.1720  0.5216  0.4920  0.50
Biret 1990   67  0.3273  0.0073  0.0551  0.0568  0.0484  0.04
Blet 2003   69  0.3141  0.0068  0.0470  0.0448  0.0667  0.05
Block 1995   3  0.5218  0.006  0.194  0.752  0.802  0.77
Blumental 1952   32  0.4010  0.0133  0.0836  0.3129  0.3537  0.33
Boshniakovich 1969   8  0.496  0.014  0.205  0.719  0.685  0.69
Brailowsky 1960   5  0.512  0.107  0.208  0.662  0.814  0.73
Bunin 1987   76  0.2891  0.0080  0.0465  0.0460  0.0582  0.04
Bunin 1987b   79  0.2781  0.0081  0.0482  0.0467  0.0476  0.04
Chiu 1999   54  0.3466  0.0064  0.0480  0.0454  0.0572  0.04
Cohen 1997   47  0.3538  0.0055  0.0548  0.0521  0.5542  0.17
Cortot 1951   75  0.2840  0.0056  0.0646  0.0631  0.2552  0.12
Csalog 1996   56  0.3357  0.0041  0.0542  0.1055  0.0657  0.08
Czerny 1949   65  0.3248  0.0054  0.0557  0.0532  0.4444  0.15
Czerny 1990   72  0.3084  0.0074  0.0553  0.0565  0.0571  0.05
Duchoud 2007   85  0.2359  0.0083  0.0386  0.0366  0.0580  0.04
Ezaki 2006   9  0.4925  0.0014  0.107  0.697  0.686  0.68
Falvay 1989   33  0.4060  0.0039  0.0938  0.2555  0.0554  0.11
Farrell 1958   84  0.2430  0.0067  0.0478  0.0466  0.0475  0.04
Ferenczy 1958   38  0.3923  0.0036  0.1035  0.325  0.7721  0.50
Fliere 1977   11  0.4731  0.0019  0.1314  0.6135  0.2828  0.41
Fou 1978   27  0.4252  0.0034  0.0828  0.4230  0.3334  0.37
Francois 1956   55  0.3464  0.0053  0.0469  0.0420  0.5249  0.14
Friedman 1923   73  0.2985  0.0078  0.0471  0.0460  0.0585  0.04
Friedman 1923b   78  0.2789  0.0082  0.0467  0.0467  0.0583  0.04
Friedman 1930   80  0.2687  0.0063  0.0461  0.0469  0.0479  0.04
Garcia 2007   18  0.4419  0.0011  0.1116  0.585  0.689  0.63
Garcia 2007b   81  0.2582  0.0045  0.0445  0.0835  0.1853  0.12
Gierzod 1998   4  0.515  0.023  0.2313  0.6110  0.6212  0.61
Gornostaeva 1994   21  0.4376  0.0031  0.1126  0.4717  0.5519  0.51
Groot 1988   20  0.4322  0.0023  0.1017  0.5618  0.4422  0.50
Harasiewicz 1955   7  0.5014  0.0010  0.126  0.6917  0.5213  0.60
Hatto 1993   31  0.4136  0.0022  0.1124  0.4825  0.4027  0.44
Hatto 1997   34  0.4045  0.0013  0.1222  0.4820  0.4723  0.47
Horowitz 1949   64  0.3349  0.0071  0.0556  0.0536  0.3350  0.13
Indjic 1988   43  0.3846  0.0026  0.1227  0.4329  0.3531  0.39
Kapell 1951   30  0.4121  0.0028  0.1033  0.3530  0.2838  0.31
Kissin 1993   74  0.2943  0.0076  0.0474  0.0472  0.0578  0.04
Kushner 1989   17  0.4565  0.0024  0.1121  0.4929  0.3032  0.38
Luisada 1991   36  0.4051  0.0040  0.0940  0.1937  0.1840  0.18
Lushtak 2004   23  0.4337  0.0029  0.1331  0.3824  0.3833  0.38
Malcuzynski 1961   26  0.4227  0.0025  0.1123  0.4826  0.4524  0.46
Magaloff 1978   37  0.3962  0.0047  0.0476  0.0447  0.0761  0.05
Magin 1975   49  0.3556  0.0050  0.0464  0.0450  0.0663  0.05
Michalowski 1933   88  0.1444  0.0088  0.0384  0.0371  0.0489  0.03
Milkina 1970   24  0.4216  0.0017  0.1112  0.6215  0.6211  0.62
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   45  0.3774  0.0048  0.0559  0.0547  0.0760  0.06
Morozova 2008   60  0.3370  0.0049  0.0466  0.0447  0.0668  0.05
Neighaus 1950   46  0.3686  0.0044  0.0444  0.0933  0.2547  0.15
Niedzielski 1931   59  0.3347  0.0058  0.0647  0.0635  0.2551  0.12
Ohlsson 1999   57  0.3358  0.0069  0.0475  0.0470  0.0477  0.04
Osinska 1989   13  0.4763  0.0018  0.139  0.6520  0.5114  0.58
Pachmann 1927   61  0.3375  0.0075  0.0468  0.0441  0.1556  0.08
Paderewski 1930   87  0.1971  0.0086  0.0477  0.0447  0.0765  0.05
Perlemuter 1992   40  0.3932  0.0043  0.0543  0.0915  0.5239  0.22
Pierdomenico 2008   83  0.2478  0.0084  0.0289  0.0265  0.0488  0.03
Poblocka 1999   14  0.4612  0.0115  0.1010  0.6410  0.6010  0.62
Rabcewiczowa 1932   28  0.4213  0.0120  0.1019  0.5311  0.6415  0.58
Rachmaninoff 1923   66  0.3261  0.0070  0.0483  0.0461  0.0473  0.04
Rangell 2001   42  0.384  0.0238  0.1139  0.2519  0.5336  0.36
Richter 1976   39  0.3924  0.0046  0.0481  0.0457  0.0664  0.05
Rosen 1989   6  0.507  0.015  0.213  0.774  0.723  0.74
Rosenthal 1930   48  0.3539  0.0065  0.0479  0.0424  0.5545  0.15
Rosenthal 1931   62  0.3335  0.0052  0.0549  0.0515  0.6841  0.18
Rosenthal 1931b   53  0.3434  0.0051  0.0460  0.0413  0.6443  0.16
Rosenthal 1931c   41  0.3811  0.0137  0.1137  0.318  0.6426  0.45
Rosenthal 1931d   70  0.3067  0.0060  0.0462  0.0413  0.5646  0.15
Rossi 2007   86  0.2088  0.0087  0.0385  0.0364  0.0487  0.03
Rubinstein 1939   58  0.3379  0.0057  0.0550  0.0564  0.0474  0.04
Rubinstein 1952   12  0.478  0.019  0.1515  0.5913  0.5816  0.58
Rubinstein 1966   2  0.583  0.082  0.442  0.842  0.791  0.81
Schilhawsky 1960   51  0.3472  0.0072  0.0554  0.0545  0.0958  0.07
Shebanova 2002   44  0.3733  0.0042  0.0441  0.1046  0.0955  0.09
Smith 1975   50  0.3455  0.0066  0.0473  0.0450  0.0662  0.05
Sokolov 2002   35  0.4015  0.0032  0.1134  0.337  0.6125  0.45
Sztompka 1959   68  0.3126  0.0059  0.0552  0.0552  0.0666  0.05
Tomsic 1995   25  0.4250  0.0021  0.1318  0.5410  0.5418  0.54
Uninsky 1932   71  0.3083  0.0079  0.0472  0.0447  0.0669  0.05
Uninsky 1971   22  0.4342  0.0035  0.1130  0.4127  0.3930  0.40
Wasowski 1980   82  0.2553  0.0085  0.0287  0.0247  0.0686  0.03
Zak 1937   19  0.4428  0.0030  0.1032  0.3726  0.3535  0.36
Zak 1951   16  0.4517  0.0027  0.1229  0.4222  0.4129  0.41
Average   1  0.631  0.651  0.641  0.9021  0.458  0.64
Random 1   91  -0.0780  0.0091  0.0191  0.0188  0.0291  0.01
Random 2   89  0.0490  0.0089  0.0288  0.0229  0.2659  0.07
Random 3   90  -0.0554  0.0090  0.0190  0.0162  0.0390  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).