Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.4525  0.0025  0.1123  0.502  0.6619  0.57
Anderszewski 2003   12  0.4713  0.0010  0.1812  0.667  0.706  0.68
Ashkenazy 1981   48  0.3461  0.0063  0.0468  0.0457  0.0765  0.05
Bacha 2000   36  0.3837  0.0042  0.0642  0.1712  0.5638  0.31
Badura 1965   53  0.3341  0.0055  0.0651  0.0625  0.3147  0.14
Barbosa 1983   18  0.4462  0.0022  0.1218  0.5814  0.5221  0.55
Biret 1990   11  0.4711  0.007  0.236  0.743  0.774  0.75
Blet 2003   63  0.2943  0.0074  0.0378  0.0376  0.0387  0.03
Block 1995   79  0.2388  0.0062  0.0562  0.0568  0.0483  0.04
Blumental 1952   30  0.4029  0.0035  0.1034  0.3632  0.3136  0.33
Boshniakovich 1969   60  0.3063  0.0043  0.0545  0.1257  0.0557  0.08
Brailowsky 1960   58  0.3154  0.0075  0.0377  0.0356  0.0670  0.04
Bunin 1987   66  0.2978  0.0068  0.0465  0.0457  0.0584  0.04
Bunin 1987b   62  0.2973  0.0067  0.0463  0.0455  0.0576  0.04
Chiu 1999   38  0.3846  0.0040  0.0741  0.1941  0.1445  0.16
Cohen 1997   47  0.3455  0.0036  0.0938  0.297  0.6431  0.43
Cortot 1951   76  0.2583  0.0071  0.0473  0.0452  0.0666  0.05
Csalog 1996   74  0.2675  0.0073  0.0376  0.0358  0.0581  0.04
Czerny 1949   2  0.562  0.222  0.365  0.744  0.822  0.78
Czerny 1990   25  0.4258  0.0028  0.0925  0.4931  0.4627  0.47
Duchoud 2007   51  0.3369  0.0052  0.0652  0.0626  0.3346  0.14
Ezaki 2006   27  0.4259  0.0016  0.1229  0.4329  0.4232  0.42
Falvay 1989   5  0.523  0.055  0.268  0.704  0.6312  0.66
Farrell 1958   34  0.3814  0.0031  0.1033  0.3612  0.4933  0.42
Ferenczy 1958   50  0.3428  0.0064  0.0557  0.0526  0.5544  0.17
Fliere 1977   55  0.3257  0.0056  0.0466  0.0465  0.0468  0.04
Fou 1978   20  0.449  0.0130  0.0928  0.4427  0.3734  0.40
Francois 1956   19  0.4433  0.0021  0.1220  0.572  0.799  0.67
Friedman 1923   86  0.1856  0.0086  0.0384  0.0375  0.0489  0.03
Friedman 1923b   85  0.1981  0.0085  0.0286  0.0266  0.0588  0.03
Friedman 1930   83  0.1970  0.0083  0.0289  0.0280  0.0390  0.02
Garcia 2007   80  0.2315  0.0053  0.0555  0.0540  0.1456  0.08
Garcia 2007b   70  0.2823  0.0047  0.0849  0.0831  0.2648  0.14
Gierzod 1998   35  0.3867  0.0039  0.1039  0.2442  0.1343  0.18
Gornostaeva 1994   26  0.4244  0.0020  0.1119  0.5712  0.6117  0.59
Groot 1988   32  0.3936  0.0032  0.0931  0.4035  0.2537  0.32
Harasiewicz 1955   6  0.5220  0.006  0.232  0.814  0.665  0.73
Hatto 1993   8  0.4934  0.0012  0.1513  0.6616  0.5416  0.60
Hatto 1997   7  0.514  0.049  0.237  0.726  0.657  0.68
Horowitz 1949   72  0.2748  0.0072  0.0380  0.0350  0.0677  0.04
Indjic 1988   9  0.4938  0.0013  0.1614  0.6616  0.5813  0.62
Kapell 1951   22  0.4312  0.0023  0.1021  0.5517  0.4026  0.47
Kissin 1993   54  0.3265  0.0058  0.0375  0.0363  0.0680  0.04
Kushner 1989   23  0.4350  0.0017  0.0917  0.5823  0.4224  0.49
Luisada 1991   31  0.3930  0.0029  0.0937  0.3027  0.3039  0.30
Lushtak 2004   67  0.2982  0.0060  0.0469  0.0471  0.0482  0.04
Malcuzynski 1961   45  0.3552  0.0045  0.0744  0.1459  0.0555  0.08
Magaloff 1978   68  0.2871  0.0054  0.0654  0.0670  0.0373  0.04
Magin 1975   42  0.3627  0.0048  0.0848  0.0860  0.0559  0.06
Michalowski 1933   78  0.2376  0.0070  0.0471  0.0430  0.3249  0.11
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   24  0.4216  0.0018  0.0915  0.6212  0.6214  0.62
Moravec 1969   13  0.4621  0.0015  0.1711  0.675  0.6610  0.66
Morozova 2008   15  0.4510  0.0119  0.1016  0.5910  0.5518  0.57
Neighaus 1950   56  0.3217  0.0049  0.0847  0.0851  0.0561  0.06
Niedzielski 1931   82  0.2079  0.0081  0.0472  0.0481  0.0385  0.03
Ohlsson 1999   37  0.3826  0.0037  0.1135  0.3630  0.3035  0.33
Osinska 1989   16  0.457  0.028  0.279  0.6910  0.6411  0.66
Pachmann 1927   84  0.1942  0.0088  0.0383  0.0373  0.0486  0.03
Paderewski 1930   88  0.1780  0.0087  0.0385  0.0357  0.0579  0.04
Perlemuter 1992   81  0.2291  0.0082  0.0381  0.0363  0.0569  0.04
Pierdomenico 2008   73  0.2718  0.0050  0.0946  0.0921  0.4441  0.20
Poblocka 1999   49  0.3485  0.0059  0.0464  0.0471  0.0471  0.04
Rabcewiczowa 1932   33  0.3824  0.0027  0.1126  0.4813  0.6122  0.54
Rachmaninoff 1923   65  0.2974  0.0066  0.0561  0.0560  0.0474  0.04
Rangell 2001   40  0.3684  0.0038  0.1132  0.3618  0.5328  0.44
Richter 1976   61  0.2968  0.0065  0.0470  0.0469  0.0578  0.04
Rosen 1989   44  0.3522  0.0046  0.0750  0.0760  0.0464  0.05
Rosenthal 1930   69  0.2840  0.0078  0.0558  0.0542  0.1953  0.10
Rosenthal 1931   64  0.2960  0.0076  0.0382  0.0335  0.3750  0.11
Rosenthal 1931b   75  0.2645  0.0080  0.0556  0.0538  0.2351  0.11
Rosenthal 1931c   71  0.2887  0.0077  0.0474  0.0446  0.0667  0.05
Rosenthal 1931d   77  0.2453  0.0079  0.0379  0.0337  0.1758  0.07
Rossi 2007   87  0.1786  0.0084  0.0288  0.0249  0.0772  0.04
Rubinstein 1939   3  0.555  0.043  0.223  0.802  0.781  0.79
Rubinstein 1952   14  0.4635  0.0014  0.1510  0.699  0.658  0.67
Rubinstein 1966   4  0.536  0.034  0.284  0.796  0.723  0.75
Schilhawsky 1960   52  0.338  0.0169  0.0560  0.0553  0.0562  0.05
Shebanova 2002   59  0.3064  0.0057  0.0559  0.0574  0.0563  0.05
Smith 1975   29  0.4049  0.0033  0.1036  0.3516  0.5329  0.43
Sokolov 2002   21  0.4331  0.0024  0.1127  0.476  0.6520  0.55
Sztompka 1959   43  0.3572  0.0044  0.0643  0.1542  0.2342  0.19
Tomsic 1995   39  0.3766  0.0034  0.1130  0.4115  0.4530  0.43
Uninsky 1932   41  0.3647  0.0041  0.0840  0.2330  0.2640  0.24
Uninsky 1971   10  0.4819  0.0011  0.1322  0.5312  0.5323  0.53
Wasowski 1980   28  0.4132  0.0026  0.1024  0.4925  0.4625  0.47
Zak 1937   57  0.3189  0.0061  0.0467  0.0468  0.0475  0.04
Zak 1951   46  0.3477  0.0051  0.0653  0.0648  0.0660  0.06
Average   1  0.591  0.531  0.521  0.8725  0.4215  0.60
Random 1   90  0.0039  0.0090  0.0290  0.0216  0.4254  0.09
Random 2   89  0.0951  0.0089  0.0287  0.023  0.5252  0.10
Random 3   91  -0.0990  0.0091  0.0191  0.0175  0.0391  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).