Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.3516  0.0013  0.1620  0.6519  0.4917  0.56
Anderszewski 2003   53  0.2161  0.0042  0.0641  0.1845  0.1037  0.13
Ashkenazy 1981   83  0.0854  0.0079  0.0380  0.0386  0.0381  0.03
Bacha 2000   52  0.2166  0.0060  0.0658  0.0674  0.0360  0.04
Badura 1965   75  0.1149  0.0061  0.0655  0.0662  0.0457  0.05
Barbosa 1983   43  0.2367  0.0040  0.0740  0.2152  0.0641  0.11
Biret 1990   12  0.4215  0.0122  0.1926  0.5220  0.5719  0.54
Blet 2003   71  0.1265  0.0050  0.0947  0.0976  0.0356  0.05
Block 1995   28  0.2832  0.0034  0.0932  0.3555  0.0538  0.13
Blumental 1952   73  0.1259  0.0065  0.0656  0.0685  0.0365  0.04
Boshniakovich 1969   48  0.2240  0.0048  0.0850  0.0877  0.0358  0.05
Brailowsky 1960   36  0.2655  0.0031  0.1131  0.3838  0.2428  0.30
Bunin 1987   58  0.1829  0.0056  0.0561  0.0576  0.0466  0.04
Bunin 1987b   59  0.1868  0.0057  0.0659  0.0677  0.0454  0.05
Chiu 1999   56  0.1946  0.0078  0.0468  0.0485  0.0368  0.03
Cohen 1997   4  0.493  0.054  0.223  0.814  0.714  0.76
Cortot 1951   15  0.4013  0.0118  0.1418  0.689  0.6512  0.66
Csalog 1996   66  0.1682  0.0074  0.0371  0.0374  0.0479  0.03
Czerny 1949   2  0.528  0.022  0.172  0.816  0.842  0.82
Czerny 1990   61  0.1841  0.0063  0.0752  0.0767  0.0459  0.05
Duchoud 2007   50  0.2269  0.0059  0.0565  0.0579  0.0364  0.04
Ezaki 2006   6  0.462  0.123  0.2011  0.748  0.689  0.71
Falvay 1989   31  0.2762  0.0043  0.0643  0.1558  0.0544  0.09
Farrell 1958   30  0.2776  0.0032  0.1230  0.3842  0.1330  0.22
Ferenczy 1958   17  0.3622  0.0017  0.1314  0.718  0.823  0.76
Fliere 1977   68  0.1463  0.0077  0.0372  0.0383  0.0367  0.03
Fou 1978   49  0.2270  0.0041  0.0645  0.1387  0.0253  0.05
Francois 1956   9  0.445  0.026  0.189  0.756  0.757  0.75
Friedman 1923   86  0.0277  0.0090  0.0189  0.0182  0.0390  0.02
Friedman 1923b   87  0.0278  0.0089  0.0190  0.0183  0.0388  0.02
Friedman 1930   72  0.1264  0.0084  0.0382  0.0386  0.0287  0.02
Garcia 2007   57  0.1973  0.0049  0.1046  0.1075  0.0450  0.06
Garcia 2007b   79  0.1083  0.0080  0.0283  0.0280  0.0389  0.02
Gierzod 1998   51  0.2179  0.0035  0.0834  0.3344  0.1431  0.21
Gornostaeva 1994   1  0.621  0.571  0.571  0.902  0.841  0.87
Groot 1988   40  0.2434  0.0045  0.0744  0.1476  0.0447  0.07
Harasiewicz 1955   20  0.364  0.0412  0.1219  0.6526  0.3724  0.49
Hatto 1993   69  0.1384  0.0072  0.0378  0.0375  0.0482  0.03
Hatto 1997   18  0.3648  0.0024  0.1623  0.5938  0.1926  0.33
Horowitz 1949   64  0.1785  0.0070  0.0377  0.0377  0.0474  0.03
Indjic 1988   81  0.0986  0.0081  0.0469  0.0485  0.0378  0.03
Kapell 1951   63  0.1774  0.0066  0.0466  0.0475  0.0462  0.04
Kissin 1993   90  -0.0527  0.0088  0.0287  0.0288  0.0285  0.02
Kushner 1989   60  0.1856  0.0068  0.0470  0.0487  0.0270  0.03
Luisada 1991   55  0.2087  0.0062  0.0654  0.0672  0.0451  0.05
Lushtak 2004   39  0.2588  0.0044  0.0742  0.1746  0.0742  0.11
Malcuzynski 1961   74  0.1271  0.0058  0.0564  0.0585  0.0272  0.03
Magaloff 1978   26  0.317  0.0230  0.1237  0.2656  0.0540  0.11
Magin 1975   88  0.0289  0.0087  0.0288  0.0283  0.0283  0.02
Michalowski 1933   67  0.1580  0.0069  0.0373  0.0377  0.0477  0.03
Milkina 1970   24  0.3118  0.0020  0.1917  0.6815  0.5714  0.62
Mohovich 1999   10  0.4314  0.017  0.137  0.7611  0.6111  0.68
Moravec 1969   45  0.2338  0.0038  0.0735  0.2974  0.0439  0.11
Morozova 2008   41  0.2475  0.0047  0.0848  0.0864  0.0549  0.06
Neighaus 1950   8  0.456  0.028  0.1310  0.7418  0.4318  0.56
Niedzielski 1931   80  0.1072  0.0071  0.0374  0.0380  0.0369  0.03
Ohlsson 1999   38  0.2528  0.0052  0.0751  0.0785  0.0355  0.05
Osinska 1989   5  0.4810  0.0210  0.144  0.7910  0.725  0.75
Pachmann 1927   65  0.1637  0.0073  0.0379  0.0380  0.0376  0.03
Paderewski 1930   84  0.0790  0.0067  0.0467  0.0487  0.0275  0.03
Perlemuter 1992   37  0.2645  0.0036  0.0739  0.2150  0.0543  0.10
Pierdomenico 2008   42  0.2442  0.0055  0.0562  0.0573  0.0361  0.04
Poblocka 1999   46  0.2339  0.0046  0.0753  0.0763  0.0548  0.06
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   34  0.2650  0.0039  0.0638  0.2276  0.0345  0.08
Rangell 2001   27  0.3120  0.0021  0.2021  0.6419  0.3923  0.50
Richter 1976   70  0.1357  0.0083  0.0284  0.0283  0.0384  0.02
Rosen 1989   21  0.3630  0.0023  0.1822  0.6140  0.1827  0.33
Rosenthal 1930   13  0.4111  0.0211  0.155  0.797  0.726  0.75
Rosenthal 1931   47  0.2347  0.0027  0.1627  0.4924  0.5720  0.53
Rosenthal 1931b   35  0.2651  0.0026  0.1825  0.5418  0.6216  0.58
Rosenthal 1931c   23  0.3317  0.0025  0.1524  0.5621  0.5021  0.53
Rosenthal 1931d   25  0.319  0.0216  0.1415  0.706  0.7210  0.71
Rossi 2007   32  0.2712  0.0151  0.0849  0.0825  0.2635  0.14
Rubinstein 1939   29  0.2821  0.0029  0.1329  0.4034  0.1829  0.27
Rubinstein 1952   16  0.3823  0.0014  0.1912  0.7313  0.5713  0.65
Rubinstein 1966   14  0.4160  0.009  0.1313  0.7216  0.4615  0.58
Schilhawsky 1960   82  0.0943  0.0085  0.0285  0.0286  0.0286  0.02
Shebanova 2002   76  0.1144  0.0082  0.0381  0.0382  0.0380  0.03
Smith 1975   3  0.5131  0.005  0.186  0.779  0.708  0.73
Sokolov 2002   19  0.3624  0.0028  0.1228  0.4931  0.3325  0.40
Sztompka 1959   33  0.2619  0.0033  0.0833  0.3352  0.0733  0.15
Tomsic 1995   44  0.2333  0.0037  0.0636  0.2846  0.0636  0.13
Uninsky 1932   54  0.2058  0.0053  0.0563  0.0580  0.0363  0.04
Uninsky 1971   11  0.4226  0.0019  0.1516  0.6923  0.3722  0.51
Wasowski 1980   62  0.1791  0.0064  0.0560  0.0575  0.0552  0.05
Zak 1937   78  0.1181  0.0076  0.0376  0.0382  0.0371  0.03
Zak 1951   77  0.1152  0.0075  0.0375  0.0383  0.0373  0.03
Average   7  0.4635  0.0015  0.148  0.7587  0.0334  0.15
Random 1   91  -0.0953  0.0091  0.0191  0.0187  0.0291  0.01
Random 2   85  0.0625  0.0054  0.0657  0.0616  0.4232  0.16
Random 3   89  0.0136  0.0086  0.0286  0.0225  0.2846  0.07

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).