Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6934  0.008  0.158  0.4929  0.3110  0.39
Anderszewski 2003   50  0.5352  0.0063  0.0454  0.0460  0.0381  0.03
Ashkenazy 1981   48  0.5469  0.0057  0.0465  0.0474  0.0384  0.03
Bacha 2000   64  0.5087  0.0056  0.0462  0.0449  0.0654  0.05
Badura 1965   68  0.4878  0.0081  0.0287  0.0249  0.0682  0.03
Barbosa 1983   65  0.5032  0.0022  0.0722  0.3315  0.3613  0.34
Biret 1990   5  0.7128  0.006  0.137  0.5213  0.396  0.45
Blet 2003   23  0.6283  0.0021  0.0621  0.3532  0.2318  0.28
Block 1995   78  0.4362  0.0070  0.0451  0.0467  0.0467  0.04
Blumental 1952   31  0.5955  0.009  0.0918  0.3916  0.3014  0.34
Boshniakovich 1969   56  0.5284  0.0085  0.0378  0.0388  0.0289  0.02
Brailowsky 1960   60  0.5186  0.0072  0.0383  0.0376  0.0471  0.03
Bunin 1987   72  0.4554  0.0082  0.0288  0.0265  0.0485  0.03
Bunin 1987b   74  0.4419  0.0183  0.0461  0.0465  0.0460  0.04
Chiu 1999   61  0.5110  0.0161  0.0452  0.0450  0.0655  0.05
Cohen 1997   87  0.3460  0.0084  0.0381  0.0348  0.0668  0.04
Cortot 1951   25  0.6177  0.0036  0.0832  0.2244  0.1531  0.18
Csalog 1996   69  0.4836  0.0074  0.0384  0.0349  0.0663  0.04
Czerny 1949   11  0.6731  0.0018  0.0619  0.3941  0.1225  0.22
Czerny 1990   1  0.761  0.321  0.311  0.6510  0.511  0.58
Duchoud 2007   59  0.5156  0.0067  0.0374  0.0351  0.0565  0.04
Ezaki 2006   15  0.6522  0.0128  0.0627  0.2746  0.0636  0.13
Falvay 1989   34  0.5915  0.0137  0.0531  0.2422  0.4017  0.31
Farrell 1958   28  0.6048  0.0020  0.0720  0.3815  0.3512  0.36
Ferenczy 1958   30  0.6047  0.0013  0.1029  0.2625  0.2719  0.26
Fliere 1977   17  0.6453  0.0033  0.0635  0.2167  0.0445  0.09
Fou 1978   51  0.5335  0.0043  0.0441  0.1355  0.0549  0.08
Francois 1956   6  0.715  0.062  0.205  0.577  0.553  0.56
Friedman 1923   85  0.3561  0.0078  0.0367  0.0349  0.0759  0.05
Friedman 1923b   86  0.3489  0.0077  0.0370  0.0351  0.0669  0.04
Friedman 1930   53  0.5363  0.0042  0.0544  0.1036  0.2234  0.15
Garcia 2007   70  0.4871  0.0068  0.0459  0.0462  0.0466  0.04
Garcia 2007b   71  0.4679  0.0055  0.0371  0.0348  0.0570  0.04
Gierzod 1998   18  0.6445  0.0024  0.0624  0.3169  0.0440  0.11
Gornostaeva 1994   14  0.6558  0.0032  0.0623  0.3138  0.1626  0.22
Groot 1988   44  0.5623  0.0145  0.0642  0.1164  0.0452  0.07
Harasiewicz 1955   63  0.5051  0.0054  0.0453  0.0485  0.0287  0.03
Hatto 1993   84  0.3581  0.0076  0.0372  0.0384  0.0386  0.03
Hatto 1997   81  0.4275  0.0062  0.0460  0.0450  0.0658  0.05
Horowitz 1949   80  0.426  0.0587  0.0379  0.0382  0.0377  0.03
Indjic 1988   82  0.3791  0.0073  0.0382  0.0379  0.0380  0.03
Kapell 1951   4  0.714  0.075  0.214  0.5816  0.394  0.48
Kissin 1993   42  0.5768  0.0052  0.0464  0.0474  0.0379  0.03
Kushner 1989   7  0.7127  0.007  0.146  0.5322  0.385  0.45
Luisada 1991   41  0.5726  0.0031  0.0639  0.1554  0.0543  0.09
Lushtak 2004   38  0.5839  0.0014  0.0713  0.4345  0.0928  0.20
Malcuzynski 1961   54  0.5282  0.0071  0.0456  0.0484  0.0376  0.03
Magaloff 1978   21  0.629  0.0238  0.0634  0.2143  0.1432  0.17
Magin 1975   67  0.4850  0.0069  0.0375  0.0379  0.0374  0.03
Michalowski 1933   19  0.6317  0.0112  0.0917  0.4110  0.487  0.44
Milkina 1970   35  0.5938  0.0040  0.0545  0.1082  0.0453  0.06
Mohovich 1999   12  0.6640  0.0019  0.0611  0.4345  0.0929  0.20
Moravec 1969   24  0.6116  0.0130  0.0633  0.2211  0.4616  0.32
Morozova 2008   29  0.6042  0.0026  0.0826  0.3038  0.1723  0.23
Neighaus 1950   27  0.6044  0.0035  0.0636  0.1979  0.0447  0.09
Niedzielski 1931   62  0.5043  0.0075  0.0376  0.0378  0.0373  0.03
Ohlsson 1999   40  0.5829  0.0058  0.0466  0.0465  0.0462  0.04
Osinska 1989   8  0.7033  0.0016  0.0810  0.4332  0.2615  0.33
Pachmann 1927   77  0.4420  0.0180  0.0285  0.0255  0.0578  0.03
Paderewski 1930   9  0.6912  0.0111  0.1014  0.428  0.408  0.41
Perlemuter 1992   22  0.6264  0.0017  0.0616  0.4136  0.1421  0.24
Pierdomenico 2008   58  0.5159  0.0066  0.0373  0.0346  0.1056  0.05
Poblocka 1999   26  0.6114  0.0127  0.0730  0.2548  0.0638  0.12
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   39  0.5821  0.0129  0.0725  0.3043  0.1230  0.19
Rangell 2001   73  0.4518  0.0179  0.0286  0.0269  0.0390  0.02
Richter 1976   88  0.3385  0.0088  0.0369  0.0383  0.0288  0.02
Rosen 1989   13  0.6525  0.0015  0.0712  0.4324  0.3111  0.37
Rosenthal 1930   43  0.5730  0.0046  0.0455  0.0423  0.2941  0.11
Rosenthal 1931   76  0.4446  0.0047  0.0550  0.0528  0.2639  0.11
Rosenthal 1931b   79  0.4380  0.0050  0.0549  0.0529  0.2342  0.11
Rosenthal 1931c   49  0.5366  0.0048  0.0646  0.0627  0.3135  0.14
Rosenthal 1931d   75  0.4424  0.0049  0.0458  0.0433  0.1850  0.08
Rossi 2007   66  0.508  0.0241  0.0540  0.1311  0.4122  0.23
Rubinstein 1939   83  0.3676  0.0086  0.0377  0.0360  0.0472  0.03
Rubinstein 1952   57  0.5165  0.0053  0.0368  0.0334  0.2648  0.09
Rubinstein 1966   46  0.5473  0.0051  0.0548  0.0540  0.1846  0.09
Schilhawsky 1960   45  0.5567  0.0060  0.0547  0.0554  0.0557  0.05
Shebanova 2002   37  0.5849  0.0059  0.0457  0.0466  0.0464  0.04
Smith 1975   20  0.6341  0.0025  0.099  0.4440  0.1124  0.22
Sokolov 2002   32  0.5937  0.0039  0.0538  0.1643  0.1037  0.13
Sztompka 1959   3  0.742  0.134  0.243  0.619  0.542  0.57
Tomsic 1995   47  0.5413  0.0144  0.0443  0.1135  0.2233  0.16
Uninsky 1932   16  0.647  0.0410  0.1115  0.4123  0.419  0.41
Uninsky 1971   33  0.5957  0.0023  0.0728  0.2741  0.1527  0.20
Wasowski 1980   36  0.5811  0.0134  0.0537  0.1658  0.0544  0.09
Zak 1937   52  0.5374  0.0065  0.0380  0.0372  0.0475  0.03
Zak 1951   55  0.5270  0.0064  0.0463  0.0473  0.0461  0.04
Average   2  0.753  0.083  0.242  0.6444  0.1020  0.25
Random 1   91  -0.2288  0.0091  0.0191  0.0183  0.0291  0.01
Random 2   89  0.0072  0.0089  0.0289  0.0222  0.2251  0.07
Random 3   90  -0.0890  0.0090  0.0290  0.0261  0.0483  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).