Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.6636  0.0053  0.0460  0.0454  0.0460  0.04
Anderszewski 2003   66  0.4625  0.0070  0.0471  0.0476  0.0375  0.03
Ashkenazy 1981   42  0.6130  0.0044  0.0840  0.1663  0.0350  0.07
Bacha 2000   15  0.7340  0.0019  0.0718  0.374  0.538  0.44
Badura 1965   69  0.4569  0.0052  0.0465  0.0454  0.0462  0.04
Barbosa 1983   65  0.4646  0.0056  0.0550  0.0569  0.0358  0.04
Biret 1990   24  0.6744  0.0035  0.0625  0.2631  0.1934  0.22
Blet 2003   51  0.5653  0.0068  0.0470  0.0474  0.0376  0.03
Block 1995   20  0.6877  0.0034  0.0826  0.2619  0.3030  0.28
Blumental 1952   81  0.3024  0.0060  0.0459  0.0443  0.0851  0.06
Boshniakovich 1969   34  0.6378  0.0031  0.0627  0.2613  0.3528  0.30
Brailowsky 1960   12  0.7518  0.0110  0.116  0.493  0.536  0.51
Bunin 1987   73  0.4331  0.0081  0.0372  0.0382  0.0383  0.03
Bunin 1987b   72  0.4437  0.0080  0.0376  0.0382  0.0370  0.03
Chiu 1999   60  0.5168  0.0017  0.0813  0.4215  0.4212  0.42
Cohen 1997   56  0.5214  0.0233  0.0831  0.223  0.5321  0.34
Cortot 1951   62  0.5057  0.0077  0.0374  0.0365  0.0485  0.03
Csalog 1996   22  0.6733  0.0032  0.0630  0.2410  0.5019  0.35
Czerny 1949   70  0.4510  0.0245  0.0647  0.0644  0.0949  0.07
Czerny 1990   35  0.6374  0.0054  0.0553  0.0561  0.0464  0.04
Duchoud 2007   45  0.6061  0.0064  0.0551  0.0573  0.0361  0.04
Ezaki 2006   33  0.6416  0.0151  0.0557  0.0565  0.0454  0.04
Falvay 1989   3  0.794  0.102  0.181  0.661  0.671  0.66
Farrell 1958   21  0.6827  0.0055  0.0648  0.0641  0.1147  0.08
Ferenczy 1958   64  0.4851  0.0079  0.0382  0.0381  0.0288  0.02
Fliere 1977   13  0.7550  0.0015  0.087  0.4625  0.2322  0.33
Fou 1978   11  0.751  0.151  0.153  0.594  0.555  0.57
Francois 1956   38  0.637  0.0441  0.0743  0.1443  0.1040  0.12
Friedman 1923   90  -0.1285  0.0090  0.0190  0.0180  0.0390  0.02
Friedman 1923b   89  -0.1287  0.0089  0.0289  0.0279  0.0389  0.02
Friedman 1930   86  -0.0172  0.0087  0.0286  0.0283  0.0387  0.02
Garcia 2007   80  0.3042  0.0083  0.0383  0.0366  0.0480  0.03
Garcia 2007b   85  0.0858  0.0084  0.0381  0.0364  0.0386  0.03
Gierzod 1998   39  0.6222  0.0142  0.0544  0.1445  0.0548  0.08
Gornostaeva 1994   23  0.6741  0.0037  0.0633  0.2134  0.1936  0.20
Groot 1988   4  0.7913  0.029  0.108  0.4518  0.3714  0.41
Harasiewicz 1955   71  0.4412  0.0225  0.0729  0.2554  0.0443  0.10
Hatto 1993   78  0.3639  0.0061  0.0463  0.0456  0.0384  0.03
Hatto 1997   76  0.4047  0.0063  0.0469  0.0466  0.0377  0.03
Horowitz 1949   29  0.6564  0.0026  0.0622  0.3014  0.3524  0.32
Indjic 1988   77  0.3867  0.0062  0.0555  0.0567  0.0357  0.04
Kapell 1951   49  0.5728  0.0074  0.0468  0.0468  0.0369  0.03
Kissin 1993   2  0.802  0.133  0.275  0.583  0.623  0.60
Kushner 1989   14  0.7421  0.0116  0.0714  0.4112  0.3916  0.40
Luisada 1991   37  0.633  0.126  0.1519  0.3613  0.4018  0.38
Lushtak 2004   61  0.5080  0.0059  0.0554  0.0557  0.0463  0.04
Malcuzynski 1961   7  0.7870  0.0022  0.0623  0.2937  0.1337  0.19
Magaloff 1978   5  0.7952  0.008  0.1312  0.4219  0.3815  0.40
Magin 1975   44  0.6075  0.0030  0.0638  0.1824  0.2235  0.20
Michalowski 1933   82  0.1665  0.0071  0.0380  0.0381  0.0373  0.03
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   17  0.7154  0.0040  0.0742  0.1543  0.0841  0.11
Moravec 1969   16  0.7111  0.0221  0.0621  0.3311  0.4617  0.39
Morozova 2008   57  0.5220  0.0118  0.0724  0.2616  0.2232  0.24
Neighaus 1950   28  0.6660  0.0038  0.0635  0.2051  0.0542  0.10
Niedzielski 1931   55  0.5481  0.0066  0.0462  0.0435  0.1646  0.08
Ohlsson 1999   25  0.6626  0.0043  0.0639  0.1733  0.1838  0.17
Osinska 1989   18  0.7023  0.0023  0.0620  0.3416  0.3420  0.34
Pachmann 1927   50  0.5679  0.0039  0.0841  0.1619  0.4231  0.26
Paderewski 1930   48  0.5743  0.0058  0.0461  0.0466  0.0371  0.03
Perlemuter 1992   52  0.5659  0.0047  0.0549  0.0551  0.0552  0.05
Pierdomenico 2008   36  0.6338  0.0011  0.0915  0.405  0.489  0.44
Poblocka 1999   30  0.6588  0.0057  0.0464  0.0479  0.0365  0.03
Rabcewiczowa 1932   68  0.4645  0.0069  0.0375  0.0371  0.0368  0.03
Rachmaninoff 1923   74  0.4234  0.0067  0.0466  0.0476  0.0367  0.03
Rangell 2001   8  0.7815  0.027  0.1511  0.436  0.4510  0.44
Richter 1976   40  0.6189  0.0048  0.0645  0.0631  0.1444  0.09
Rosen 1989   19  0.6955  0.0036  0.0636  0.1934  0.2533  0.22
Rosenthal 1930   58  0.5276  0.0072  0.0373  0.0373  0.0381  0.03
Rosenthal 1931   53  0.5635  0.0028  0.0632  0.2215  0.4027  0.30
Rosenthal 1931b   54  0.5586  0.0029  0.0734  0.2115  0.4029  0.29
Rosenthal 1931c   41  0.6162  0.0046  0.0558  0.0552  0.0553  0.05
Rosenthal 1931d   32  0.6429  0.0020  0.0728  0.2510  0.4125  0.32
Rossi 2007   83  0.1282  0.0076  0.0378  0.0363  0.0366  0.03
Rubinstein 1939   59  0.528  0.0327  0.0637  0.192  0.5623  0.33
Rubinstein 1952   1  0.825  0.084  0.202  0.602  0.632  0.61
Rubinstein 1966   9  0.7617  0.0124  0.0717  0.386  0.577  0.47
Schilhawsky 1960   63  0.4849  0.0073  0.0467  0.0464  0.0459  0.04
Shebanova 2002   6  0.789  0.035  0.144  0.592  0.584  0.58
Smith 1975   47  0.5948  0.0050  0.0556  0.0577  0.0356  0.04
Sokolov 2002   46  0.5919  0.0165  0.0552  0.0565  0.0455  0.04
Sztompka 1959   75  0.4190  0.0075  0.0377  0.0378  0.0372  0.03
Tomsic 1995   10  0.756  0.0612  0.0816  0.3827  0.2626  0.31
Uninsky 1932   79  0.3266  0.0082  0.0384  0.0377  0.0378  0.03
Uninsky 1971   67  0.4673  0.0078  0.0379  0.0373  0.0374  0.03
Wasowski 1980   43  0.6056  0.0049  0.0646  0.0621  0.2439  0.12
Zak 1937   26  0.6663  0.0014  0.089  0.4513  0.4111  0.43
Zak 1951   31  0.6532  0.0013  0.0710  0.4415  0.4113  0.42
Random 1   87  -0.0383  0.0085  0.0287  0.0213  0.3945  0.09
Random 2   88  -0.0471  0.0088  0.0285  0.0248  0.0479  0.03
Random 3   84  0.1184  0.0086  0.0288  0.0254  0.0582  0.03

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).