Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.3364  0.0038  0.0837  0.2526  0.3530  0.30
Anderszewski 2003   61  0.2969  0.0042  0.0543  0.1346  0.0740  0.10
Ashkenazy 1981   80  0.2039  0.0081  0.0471  0.0468  0.0575  0.04
Bacha 2000   67  0.2855  0.0063  0.0561  0.0571  0.0364  0.04
Badura 1965   78  0.2252  0.0062  0.0562  0.0570  0.0374  0.04
Barbosa 1983   34  0.3446  0.0027  0.1024  0.4541  0.1732  0.28
Biret 1990   3  0.475  0.047  0.195  0.697  0.684  0.68
Blet 2003   83  0.1888  0.0076  0.0380  0.0382  0.0383  0.03
Block 1995   32  0.3540  0.0033  0.1128  0.4137  0.2131  0.29
Blumental 1952   56  0.3045  0.0047  0.0745  0.0767  0.0553  0.06
Boshniakovich 1969   51  0.3177  0.0048  0.0748  0.0758  0.0554  0.06
Brailowsky 1960   49  0.3186  0.0056  0.0649  0.0644  0.1144  0.08
Bunin 1987   54  0.3125  0.0060  0.0747  0.0746  0.0749  0.07
Bunin 1987b   58  0.3020  0.0061  0.0650  0.0657  0.0558  0.05
Chiu 1999   60  0.2974  0.0052  0.0654  0.0648  0.0650  0.06
Cohen 1997   12  0.4132  0.0014  0.1114  0.563  0.729  0.63
Cortot 1951   30  0.3511  0.0124  0.1233  0.329  0.6223  0.45
Csalog 1996   70  0.2781  0.0073  0.0469  0.0463  0.0571  0.04
Czerny 1949   2  0.487  0.023  0.213  0.708  0.753  0.72
Czerny 1990   57  0.3066  0.0058  0.0560  0.0560  0.0561  0.05
Duchoud 2007   68  0.2867  0.0069  0.0382  0.0367  0.0485  0.03
Ezaki 2006   4  0.462  0.102  0.228  0.658  0.655  0.65
Falvay 1989   28  0.3615  0.0139  0.0839  0.2260  0.0539  0.10
Farrell 1958   21  0.3862  0.0022  0.1023  0.4713  0.4822  0.47
Ferenczy 1958   33  0.3443  0.0037  0.0836  0.2614  0.6925  0.42
Fliere 1977   41  0.3328  0.0032  0.0934  0.3166  0.0438  0.11
Fou 1978   43  0.3373  0.0043  0.0542  0.1353  0.0545  0.08
Francois 1956   25  0.3723  0.0017  0.1120  0.5112  0.6713  0.58
Friedman 1923   85  0.1479  0.0086  0.0287  0.0283  0.0390  0.02
Friedman 1923b   86  0.1475  0.0087  0.0383  0.0382  0.0386  0.03
Friedman 1930   77  0.2336  0.0077  0.0379  0.0387  0.0384  0.03
Garcia 2007   48  0.3138  0.0049  0.0657  0.0638  0.1641  0.10
Garcia 2007b   64  0.2961  0.0057  0.0563  0.0555  0.0563  0.05
Gierzod 1998   29  0.3647  0.0031  0.1127  0.4239  0.1534  0.25
Gornostaeva 1994   1  0.561  0.491  0.481  0.852  0.811  0.83
Groot 1988   46  0.3216  0.0036  0.1038  0.2369  0.0442  0.10
Harasiewicz 1955   13  0.413  0.094  0.1811  0.6125  0.4221  0.51
Hatto 1993   62  0.2982  0.0059  0.0652  0.0677  0.0462  0.05
Hatto 1997   16  0.4027  0.0018  0.1017  0.5526  0.3126  0.41
Horowitz 1949   79  0.2265  0.0082  0.0385  0.0358  0.0480  0.03
Indjic 1988   71  0.2690  0.0066  0.0566  0.0581  0.0470  0.04
Kapell 1951   23  0.3744  0.0035  0.1235  0.3164  0.0537  0.12
Kissin 1993   87  0.1283  0.0085  0.0286  0.0281  0.0387  0.02
Kushner 1989   31  0.3548  0.0040  0.0740  0.1873  0.0446  0.08
Luisada 1991   74  0.2563  0.0078  0.0472  0.0475  0.0465  0.04
Lushtak 2004   27  0.3689  0.0026  0.0725  0.4525  0.3527  0.40
Malcuzynski 1961   47  0.3278  0.0044  0.0644  0.1155  0.0547  0.07
Magaloff 1978   19  0.398  0.0225  0.0832  0.3343  0.1235  0.20
Magin 1975   76  0.2480  0.0064  0.0468  0.0463  0.0566  0.04
Michalowski 1933   81  0.2050  0.0083  0.0384  0.0366  0.0569  0.04
Milkina 1970   20  0.3835  0.0016  0.1112  0.6125  0.4816  0.54
Mohovich 1999   11  0.4222  0.009  0.1510  0.6418  0.5312  0.58
Moravec 1969   24  0.3733  0.0034  0.1230  0.3938  0.1933  0.27
Morozova 2008   38  0.3453  0.0045  0.0651  0.0648  0.0652  0.06
Neighaus 1950   14  0.4113  0.0119  0.1015  0.5613  0.4918  0.52
Niedzielski 1931   82  0.1976  0.0080  0.0376  0.0379  0.0377  0.03
Ohlsson 1999   63  0.2937  0.0070  0.0467  0.0474  0.0382  0.03
Osinska 1989   5  0.4618  0.0010  0.152  0.7221  0.5011  0.60
Pachmann 1927   65  0.2841  0.0074  0.0470  0.0459  0.0568  0.04
Paderewski 1930   84  0.1884  0.0084  0.0378  0.0375  0.0381  0.03
Perlemuter 1992   52  0.3151  0.0055  0.0658  0.0665  0.0556  0.05
Pierdomenico 2008   59  0.3071  0.0068  0.0381  0.0371  0.0476  0.03
Poblocka 1999   36  0.3454  0.0041  0.0641  0.1554  0.0643  0.09
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   37  0.3472  0.0030  0.1031  0.3731  0.3128  0.34
Rangell 2001   26  0.3714  0.0120  0.1121  0.5116  0.5417  0.52
Richter 1976   73  0.2549  0.0079  0.0473  0.0476  0.0467  0.04
Rosen 1989   18  0.3958  0.0023  0.1022  0.5032  0.2029  0.32
Rosenthal 1930   7  0.444  0.068  0.184  0.706  0.772  0.73
Rosenthal 1931   39  0.3426  0.0029  0.1026  0.449  0.7215  0.56
Rosenthal 1931b   44  0.3224  0.0028  0.0829  0.4010  0.6719  0.52
Rosenthal 1931c   15  0.4010  0.0212  0.1613  0.598  0.6410  0.61
Rosenthal 1931d   22  0.3712  0.0113  0.1516  0.555  0.766  0.65
Rossi 2007   45  0.3229  0.0065  0.0564  0.0514  0.4736  0.15
Rubinstein 1939   17  0.399  0.0215  0.1118  0.5414  0.4920  0.51
Rubinstein 1952   9  0.4319  0.005  0.196  0.699  0.607  0.64
Rubinstein 1966   6  0.446  0.026  0.187  0.6819  0.4714  0.57
Schilhawsky 1960   69  0.2760  0.0067  0.0474  0.0459  0.0572  0.04
Shebanova 2002   66  0.2859  0.0071  0.0565  0.0576  0.0560  0.05
Smith 1975   8  0.4430  0.0011  0.179  0.646  0.638  0.63
Sokolov 2002   35  0.3468  0.0051  0.0659  0.0652  0.0557  0.05
Sztompka 1959   40  0.3321  0.0046  0.0746  0.0754  0.0651  0.06
Tomsic 1995   53  0.3131  0.0054  0.0655  0.0664  0.0559  0.05
Uninsky 1932   50  0.3134  0.0050  0.0653  0.0677  0.0373  0.04
Uninsky 1971   10  0.4217  0.0021  0.1019  0.5331  0.3524  0.43
Wasowski 1980   55  0.3157  0.0053  0.0656  0.0674  0.0555  0.05
Zak 1937   75  0.2485  0.0075  0.0377  0.0373  0.0478  0.03
Zak 1951   72  0.2570  0.0072  0.0475  0.0482  0.0379  0.03
Random 1   90  -0.0542  0.0089  0.0189  0.0157  0.0488  0.02
Random 2   88  0.0456  0.0088  0.0288  0.0230  0.2348  0.07
Random 3   89  -0.0287  0.0090  0.0190  0.0146  0.0589  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).