Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.7117  0.0124  0.0717  0.3824  0.3622  0.37
Anderszewski 2003   46  0.6159  0.0062  0.0551  0.0556  0.0476  0.04
Ashkenazy 1981   50  0.6139  0.0050  0.0649  0.0648  0.0572  0.05
Bacha 2000   16  0.7114  0.0112  0.1214  0.451  0.617  0.52
Badura 1965   68  0.5349  0.0063  0.0558  0.0547  0.0671  0.05
Barbosa 1983   79  0.4470  0.0056  0.0468  0.0459  0.0575  0.04
Biret 1990   11  0.727  0.0314  0.139  0.523  0.529  0.52
Blet 2003   47  0.6176  0.0067  0.0484  0.0440  0.1158  0.07
Block 1995   31  0.6631  0.0033  0.0829  0.259  0.4027  0.32
Blumental 1952   74  0.476  0.0352  0.0556  0.0541  0.1159  0.07
Boshniakovich 1969   35  0.6544  0.0035  0.0532  0.2123  0.3333  0.26
Brailowsky 1960   12  0.7247  0.0032  0.1020  0.378  0.5216  0.44
Bunin 1987   82  0.3778  0.0085  0.0472  0.0481  0.0388  0.03
Bunin 1987b   84  0.3790  0.0084  0.0476  0.0481  0.0385  0.03
Chiu 1999   66  0.5381  0.0034  0.0634  0.1920  0.3732  0.27
Cohen 1997   77  0.4556  0.0042  0.0544  0.097  0.4841  0.21
Cortot 1951   62  0.5774  0.0078  0.0470  0.0452  0.0582  0.04
Csalog 1996   45  0.6266  0.0036  0.0540  0.128  0.5136  0.25
Czerny 1949   64  0.5519  0.0143  0.0443  0.0941  0.0852  0.08
Czerny 1990   22  0.7012  0.0122  0.0724  0.3323  0.2929  0.31
Duchoud 2007   61  0.5785  0.0068  0.0483  0.0452  0.0579  0.04
Ezaki 2006   17  0.7126  0.0127  0.0721  0.3431  0.2828  0.31
Falvay 1989   13  0.7237  0.0029  0.0725  0.328  0.5919  0.43
Farrell 1958   25  0.6886  0.0040  0.0736  0.1612  0.3738  0.24
Ferenczy 1958   70  0.5232  0.0082  0.0552  0.0563  0.0478  0.04
Fliere 1977   9  0.749  0.0211  0.116  0.5423  0.3220  0.42
Fou 1978   5  0.761  0.261  0.262  0.642  0.652  0.64
Francois 1956   36  0.6540  0.0053  0.0566  0.0540  0.1355  0.08
Friedman 1923   86  0.2487  0.0087  0.0386  0.0372  0.0584  0.04
Friedman 1923b   87  0.2484  0.0086  0.0485  0.0472  0.0481  0.04
Friedman 1930   85  0.2955  0.0083  0.0387  0.0370  0.0486  0.03
Garcia 2007   73  0.4982  0.0076  0.0482  0.0449  0.0580  0.04
Garcia 2007b   83  0.3779  0.0077  0.0477  0.0457  0.0583  0.04
Gierzod 1998   23  0.698  0.0313  0.1026  0.3221  0.3525  0.33
Gornostaeva 1994   19  0.7050  0.0031  0.0823  0.3319  0.3823  0.35
Groot 1988   14  0.7161  0.0023  0.0719  0.3824  0.4121  0.39
Harasiewicz 1955   53  0.594  0.0321  0.0722  0.3432  0.2331  0.28
Hatto 1993   78  0.4468  0.0071  0.0478  0.0431  0.1854  0.08
Hatto 1997   75  0.4742  0.0073  0.0564  0.0560  0.0477  0.04
Horowitz 1949   39  0.6451  0.0041  0.0641  0.1217  0.4539  0.23
Indjic 1988   76  0.4653  0.0072  0.0563  0.0539  0.1351  0.08
Kapell 1951   41  0.6316  0.0160  0.0469  0.0472  0.0473  0.04
Kissin 1993   1  0.792  0.172  0.321  0.702  0.731  0.71
Kushner 1989   7  0.7563  0.0015  0.1012  0.4914  0.4613  0.47
Luisada 1991   27  0.673  0.153  0.1713  0.4710  0.4912  0.48
Lushtak 2004   65  0.5445  0.0069  0.0467  0.0478  0.0387  0.03
Malcuzynski 1961   10  0.7441  0.0030  0.0730  0.249  0.4326  0.32
Magaloff 1978   8  0.7554  0.0020  0.0815  0.416  0.4817  0.44
Magin 1975   38  0.6527  0.0026  0.0728  0.2918  0.3030  0.29
Michalowski 1933   81  0.4072  0.0081  0.0555  0.0558  0.0668  0.05
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   3  0.7610  0.028  0.1210  0.518  0.538  0.52
Moravec 1969   28  0.6723  0.0144  0.0542  0.094  0.5540  0.22
Morozova 2008   54  0.5929  0.0019  0.0731  0.2419  0.2737  0.25
Neighaus 1950   32  0.6652  0.0051  0.0845  0.0846  0.0853  0.08
Niedzielski 1931   63  0.5773  0.0066  0.0479  0.0435  0.1550  0.08
Ohlsson 1999   30  0.6658  0.0025  0.0735  0.1736  0.1743  0.17
Osinska 1989   4  0.7624  0.015  0.153  0.602  0.653  0.62
Pachmann 1927   57  0.5983  0.0064  0.0473  0.0411  0.3848  0.12
Paderewski 1930   49  0.6138  0.0059  0.0471  0.0449  0.0474  0.04
Perlemuter 1992   42  0.6336  0.0049  0.0562  0.0539  0.1156  0.07
Pierdomenico 2008   56  0.5967  0.0038  0.0537  0.1515  0.4335  0.25
Poblocka 1999   37  0.6562  0.0055  0.0557  0.0551  0.0664  0.05
Rabcewiczowa 1932   55  0.5965  0.0057  0.0481  0.0444  0.1060  0.06
Rachmaninoff 1923   59  0.5813  0.0145  0.0550  0.0543  0.1249  0.08
Rangell 2001   20  0.705  0.034  0.1116  0.391  0.5515  0.46
Richter 1976   67  0.5371  0.0075  0.0475  0.0449  0.0666  0.05
Rosen 1989   6  0.7646  0.007  0.117  0.535  0.566  0.54
Rosenthal 1930   58  0.5889  0.0070  0.0480  0.0444  0.0862  0.06
Rosenthal 1931   48  0.6143  0.0046  0.0559  0.058  0.5744  0.17
Rosenthal 1931b   51  0.6035  0.0047  0.0746  0.079  0.5242  0.19
Rosenthal 1931c   43  0.6228  0.0054  0.0554  0.0515  0.4545  0.15
Rosenthal 1931d   33  0.6530  0.0037  0.0639  0.138  0.5134  0.26
Rossi 2007   80  0.4280  0.0065  0.0561  0.0515  0.3746  0.14
Rubinstein 1939   60  0.5711  0.0218  0.0833  0.203  0.5924  0.34
Rubinstein 1952   24  0.6821  0.0117  0.125  0.575  0.624  0.59
Rubinstein 1966   18  0.7122  0.0116  0.1018  0.386  0.6211  0.49
Schilhawsky 1960   69  0.5348  0.0074  0.0647  0.0665  0.0469  0.05
Shebanova 2002   2  0.7725  0.016  0.114  0.579  0.555  0.56
Smith 1975   34  0.6557  0.0039  0.0738  0.1458  0.0457  0.07
Sokolov 2002   44  0.6233  0.0061  0.0560  0.0546  0.0565  0.05
Sztompka 1959   52  0.5920  0.0158  0.0474  0.0453  0.0667  0.05
Tomsic 1995   21  0.7060  0.0028  0.0727  0.326  0.6118  0.44
Uninsky 1932   72  0.4964  0.0080  0.0553  0.0552  0.0670  0.05
Uninsky 1971   71  0.5234  0.0079  0.0648  0.0646  0.0761  0.06
Wasowski 1980   40  0.6475  0.0048  0.0565  0.0517  0.3147  0.12
Zak 1937   26  0.6815  0.0110  0.1311  0.5110  0.4710  0.49
Zak 1951   29  0.6618  0.019  0.098  0.5212  0.4314  0.47
Random 1   90  -0.1188  0.0088  0.0188  0.0115  0.4263  0.06
Random 2   89  -0.1069  0.0090  0.0190  0.0152  0.0489  0.02
Random 3   88  -0.0177  0.0089  0.0189  0.0169  0.0490  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).