Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.3553  0.0053  0.0650  0.0643  0.1458  0.09
Anderszewski 2003   34  0.4133  0.0028  0.0927  0.4524  0.4920  0.47
Ashkenazy 1981   62  0.3478  0.0071  0.0564  0.0554  0.0767  0.06
Bacha 2000   85  0.1844  0.0085  0.0288  0.0289  0.0288  0.02
Badura 1965   69  0.3154  0.0070  0.0566  0.0542  0.1364  0.08
Barbosa 1983   7  0.4927  0.006  0.128  0.6210  0.646  0.63
Biret 1990   47  0.3750  0.0050  0.0559  0.0543  0.2055  0.10
Blet 2003   53  0.3613  0.0149  0.0651  0.0633  0.3046  0.13
Block 1995   4  0.514  0.024  0.324  0.696  0.684  0.68
Blumental 1952   32  0.4156  0.0037  0.0634  0.2930  0.3335  0.31
Boshniakovich 1969   26  0.4436  0.0013  0.1016  0.5322  0.4617  0.49
Brailowsky 1960   6  0.498  0.017  0.166  0.643  0.772  0.70
Bunin 1987   51  0.3634  0.0047  0.0654  0.0633  0.2450  0.12
Bunin 1987b   55  0.3575  0.0048  0.0747  0.0738  0.2147  0.12
Chiu 1999   36  0.4129  0.0032  0.0736  0.2828  0.2537  0.26
Cohen 1997   78  0.2538  0.0082  0.0380  0.0377  0.0386  0.03
Cortot 1951   76  0.2637  0.0059  0.0561  0.0540  0.1659  0.09
Csalog 1996   37  0.4110  0.0122  0.0729  0.3913  0.4723  0.43
Czerny 1949   71  0.3088  0.0077  0.0563  0.0560  0.0573  0.05
Czerny 1990   2  0.552  0.042  0.452  0.767  0.781  0.77
Duchoud 2007   72  0.3049  0.0073  0.0846  0.0843  0.0962  0.08
Ezaki 2006   17  0.4514  0.0119  0.0831  0.3531  0.4228  0.38
Falvay 1989   9  0.4812  0.0115  0.1114  0.5514  0.4416  0.49
Farrell 1958   45  0.3823  0.0040  0.0838  0.2820  0.4033  0.33
Ferenczy 1958   77  0.2679  0.0074  0.0476  0.0436  0.3649  0.12
Fliere 1977   3  0.5415  0.003  0.243  0.7414  0.575  0.65
Fou 1978   10  0.4717  0.009  0.139  0.6214  0.579  0.59
Francois 1956   81  0.2446  0.0080  0.0477  0.0459  0.0479  0.04
Friedman 1923   65  0.3342  0.0056  0.0567  0.0539  0.1465  0.08
Friedman 1923b   61  0.3420  0.0057  0.0652  0.0638  0.2351  0.12
Friedman 1930   67  0.3318  0.0058  0.0748  0.0743  0.1061  0.08
Garcia 2007   70  0.3059  0.0067  0.0568  0.0541  0.1263  0.08
Garcia 2007b   66  0.3339  0.0069  0.0470  0.0468  0.0580  0.04
Gierzod 1998   48  0.3751  0.0045  0.0645  0.1246  0.0954  0.10
Gornostaeva 1994   38  0.4041  0.0035  0.0844  0.1638  0.2142  0.18
Groot 1988   23  0.4545  0.0017  0.0922  0.5023  0.3822  0.44
Harasiewicz 1955   14  0.4643  0.0016  0.0917  0.5234  0.3127  0.40
Hatto 1993   42  0.3965  0.0039  0.0733  0.3046  0.0943  0.16
Hatto 1997   49  0.3721  0.0043  0.0742  0.2043  0.1044  0.14
Horowitz 1949   58  0.3566  0.0068  0.0473  0.0432  0.3648  0.12
Indjic 1988   46  0.3785  0.0044  0.0843  0.1649  0.0752  0.11
Kapell 1951   11  0.4719  0.008  0.167  0.6313  0.4811  0.55
Kissin 1993   31  0.4226  0.0033  0.0830  0.3628  0.5025  0.42
Kushner 1989   15  0.4630  0.0023  0.0721  0.5037  0.2332  0.34
Luisada 1991   8  0.497  0.0221  0.0724  0.4814  0.5314  0.50
Lushtak 2004   28  0.4340  0.0030  0.1326  0.4619  0.5119  0.48
Malcuzynski 1961   40  0.3969  0.0038  0.0935  0.2940  0.1839  0.23
Magaloff 1978   19  0.4573  0.0025  0.1028  0.4322  0.3926  0.41
Magin 1975   60  0.3452  0.0072  0.0657  0.0669  0.0470  0.05
Michalowski 1933   80  0.2484  0.0079  0.0385  0.0351  0.0772  0.05
Milkina 1970   63  0.3483  0.0065  0.0471  0.0464  0.0477  0.04
Mohovich 1999   13  0.465  0.0211  0.1010  0.6010  0.647  0.62
Moravec 1969   29  0.4361  0.0036  0.0632  0.3125  0.3334  0.32
Morozova 2008   22  0.453  0.0210  0.1011  0.6020  0.4912  0.54
Neighaus 1950   68  0.3257  0.0055  0.0565  0.0546  0.0768  0.06
Niedzielski 1931   74  0.2667  0.0075  0.0379  0.0363  0.0482  0.03
Ohlsson 1999   57  0.3562  0.0063  0.0472  0.0473  0.0384  0.03
Osinska 1989   25  0.4425  0.0027  0.0919  0.5127  0.4221  0.46
Pachmann 1927   73  0.2872  0.0078  0.0378  0.0352  0.0771  0.05
Paderewski 1930   88  0.1122  0.0087  0.0381  0.0378  0.0383  0.03
Perlemuter 1992   50  0.3631  0.0064  0.0474  0.0453  0.0669  0.05
Pierdomenico 2008   83  0.2289  0.0084  0.0387  0.0380  0.0381  0.03
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   59  0.3448  0.0054  0.0655  0.0642  0.1557  0.09
Rachmaninoff 1923   24  0.4535  0.0012  0.0912  0.597  0.618  0.60
Rangell 2001   43  0.3876  0.0051  0.0558  0.0533  0.3945  0.14
Richter 1976   12  0.4760  0.0014  0.1113  0.5918  0.5910  0.59
Rosen 1989   27  0.4455  0.0024  0.0823  0.4921  0.3824  0.43
Rosenthal 1930   52  0.3658  0.0052  0.0653  0.0618  0.5941  0.19
Rosenthal 1931   82  0.2380  0.0081  0.0386  0.0341  0.2060  0.08
Rosenthal 1931b   86  0.1787  0.0086  0.0384  0.0357  0.0487  0.03
Rosenthal 1931c   79  0.2591  0.0066  0.0475  0.0449  0.0674  0.05
Rosenthal 1931d   84  0.2090  0.0083  0.0383  0.0354  0.0578  0.04
Rossi 2007   87  0.1570  0.0088  0.0382  0.0383  0.0289  0.02
Rubinstein 1939   64  0.3463  0.0062  0.0560  0.0570  0.0476  0.04
Rubinstein 1952   21  0.4524  0.0029  0.1018  0.5226  0.4915  0.50
Rubinstein 1966   18  0.4547  0.0018  0.0815  0.5429  0.2729  0.38
Schilhawsky 1960   41  0.399  0.0131  0.0937  0.2811  0.4631  0.36
Shebanova 2002   16  0.4632  0.0020  0.0825  0.4637  0.2930  0.37
Smith 1975   44  0.3816  0.0060  0.0656  0.0641  0.1456  0.09
Sokolov 2002   75  0.2671  0.0076  0.0569  0.0580  0.0375  0.04
Sztompka 1959   5  0.506  0.025  0.145  0.656  0.723  0.68
Tomsic 1995   56  0.3577  0.0061  0.0562  0.0552  0.0766  0.06
Uninsky 1932   35  0.4181  0.0041  0.0841  0.2127  0.3238  0.26
Uninsky 1971   30  0.4211  0.0134  0.0639  0.2742  0.1840  0.22
Wasowski 1980   20  0.4528  0.0026  0.1020  0.5126  0.4618  0.48
Zak 1937   33  0.4164  0.0042  0.0940  0.2530  0.3036  0.27
Zak 1951   39  0.3968  0.0046  0.0749  0.0742  0.1353  0.10
Average   1  0.631  0.721  0.721  0.8630  0.3413  0.54
Random 1   90  -0.0582  0.0090  0.0290  0.0262  0.0390  0.02
Random 2   89  0.0086  0.0089  0.0289  0.0250  0.0585  0.03
Random 3   91  -0.1074  0.0091  0.0191  0.0165  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).