Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.5178  0.0050  0.0648  0.0670  0.0366  0.04
Anderszewski 2003   47  0.5315  0.0040  0.0637  0.1756  0.0439  0.08
Ashkenazy 1981   20  0.6175  0.0036  0.0525  0.2848  0.0531  0.12
Bacha 2000   71  0.4010  0.0188  0.0287  0.0285  0.0287  0.02
Badura 1965   46  0.5320  0.0011  0.1416  0.3918  0.408  0.39
Barbosa 1983   80  0.3088  0.0080  0.0284  0.0278  0.0290  0.02
Biret 1990   56  0.5056  0.0059  0.0365  0.0375  0.0384  0.03
Blet 2003   52  0.5189  0.0056  0.0552  0.0573  0.0363  0.04
Block 1995   43  0.5482  0.0044  0.0445  0.0944  0.1135  0.10
Blumental 1952   75  0.3419  0.0067  0.0364  0.0367  0.0382  0.03
Boshniakovich 1969   35  0.5760  0.0028  0.0736  0.1845  0.1030  0.13
Brailowsky 1960   59  0.5038  0.0063  0.0367  0.0372  0.0470  0.03
Bunin 1987   23  0.5961  0.0023  0.0823  0.3138  0.1618  0.22
Bunin 1987b   25  0.5936  0.0022  0.0824  0.3038  0.1617  0.22
Chiu 1999   84  0.2454  0.0071  0.0368  0.0376  0.0373  0.03
Cohen 1997   73  0.3730  0.0072  0.0281  0.0247  0.0583  0.03
Cortot 1951   24  0.5921  0.0032  0.0540  0.1256  0.0542  0.08
Csalog 1996   72  0.3757  0.0087  0.0288  0.0260  0.0477  0.03
Czerny 1949   31  0.5862  0.0025  0.0719  0.3650  0.0627  0.15
Czerny 1990   22  0.6076  0.0034  0.0533  0.2157  0.0438  0.09
Duchoud 2007   40  0.5647  0.0057  0.0458  0.0460  0.0467  0.04
Ezaki 2006   14  0.6724  0.0015  0.1111  0.4742  0.0919  0.21
Falvay 1989   28  0.5914  0.0039  0.0627  0.2452  0.0532  0.11
Farrell 1958   36  0.5734  0.0053  0.0460  0.0477  0.0375  0.03
Ferenczy 1958   60  0.4951  0.0074  0.0373  0.0361  0.0478  0.03
Fliere 1977   8  0.7159  0.0010  0.1512  0.4742  0.1216  0.24
Fou 1978   42  0.5566  0.0037  0.0529  0.2241  0.1820  0.20
Francois 1956   18  0.6213  0.0019  0.0818  0.3641  0.1121  0.20
Friedman 1923   86  0.2358  0.0062  0.0456  0.0430  0.2536  0.10
Friedman 1923b   85  0.2469  0.0061  0.0363  0.0330  0.2341  0.08
Friedman 1930   67  0.4340  0.0029  0.0630  0.2227  0.3212  0.27
Garcia 2007   83  0.2972  0.0075  0.0374  0.0366  0.0481  0.03
Garcia 2007b   88  0.0939  0.0085  0.0286  0.0257  0.0486  0.03
Gierzod 1998   12  0.678  0.0218  0.0822  0.3345  0.0925  0.17
Gornostaeva 1994   9  0.7148  0.009  0.168  0.5816  0.366  0.46
Groot 1988   13  0.6732  0.0012  0.1210  0.4835  0.1711  0.29
Harasiewicz 1955   65  0.4517  0.0013  0.1117  0.3836  0.1615  0.25
Hatto 1993   77  0.3241  0.0082  0.0377  0.0364  0.0385  0.03
Hatto 1997   74  0.3674  0.0081  0.0282  0.0286  0.0291  0.02
Horowitz 1949   37  0.5642  0.0031  0.0535  0.1838  0.1326  0.15
Indjic 1988   76  0.3383  0.0083  0.0375  0.0377  0.0289  0.02
Kapell 1951   38  0.5679  0.0065  0.0454  0.0464  0.0459  0.04
Kissin 1993   29  0.5822  0.0038  0.0528  0.2358  0.0434  0.10
Kushner 1989   10  0.6825  0.0014  0.1214  0.4042  0.1614  0.25
Luisada 1991   70  0.4090  0.0079  0.0283  0.0276  0.0388  0.02
Lushtak 2004   58  0.5044  0.0035  0.0539  0.1472  0.0347  0.06
Malcuzynski 1961   6  0.7546  0.007  0.119  0.5319  0.367  0.44
Magaloff 1978   5  0.776  0.045  0.205  0.6614  0.415  0.52
Magin 1975   41  0.5518  0.0042  0.0638  0.1551  0.0537  0.09
Michalowski 1933   82  0.2963  0.0041  0.0641  0.1270  0.0443  0.07
Milkina 1970   19  0.6167  0.0046  0.0553  0.0559  0.0551  0.05
Mohovich 1999   26  0.5937  0.0030  0.0632  0.2165  0.0340  0.08
Moravec 1969   50  0.5223  0.0068  0.0369  0.0350  0.0469  0.03
Morozova 2008   61  0.4933  0.0026  0.0626  0.2855  0.0433  0.11
Neighaus 1950   17  0.6311  0.0121  0.0820  0.3547  0.0628  0.14
Niedzielski 1931   64  0.4653  0.0073  0.0380  0.0349  0.0558  0.04
Ohlsson 1999   32  0.579  0.0154  0.0455  0.0469  0.0376  0.03
Osinska 1989   30  0.5831  0.0048  0.0650  0.0650  0.0548  0.05
Pachmann 1927   79  0.3273  0.0070  0.0378  0.0346  0.0661  0.04
Paderewski 1930   21  0.605  0.0524  0.0734  0.1929  0.1823  0.18
Perlemuter 1992   44  0.5335  0.0020  0.0821  0.3442  0.1022  0.18
Pierdomenico 2008   53  0.5149  0.0049  0.0647  0.0657  0.0449  0.05
Poblocka 1999   27  0.5955  0.0064  0.0366  0.0352  0.0471  0.03
Rabcewiczowa 1932   68  0.4250  0.0078  0.0370  0.0375  0.0374  0.03
Rachmaninoff 1923   55  0.5128  0.0027  0.0631  0.2136  0.1424  0.17
Rangell 2001   33  0.5743  0.0033  0.0442  0.1155  0.0544  0.07
Richter 1976   48  0.5380  0.0043  0.0444  0.1066  0.0353  0.05
Rosen 1989   34  0.5727  0.0051  0.0649  0.0650  0.0454  0.05
Rosenthal 1930   1  0.861  0.431  0.424  0.721  0.744  0.73
Rosenthal 1931   2  0.802  0.142  0.432  0.793  0.782  0.78
Rosenthal 1931b   3  0.793  0.113  0.441  0.803  0.781  0.79
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   4  0.797  0.034  0.323  0.783  0.763  0.77
Rossi 2007   87  0.2164  0.0058  0.0361  0.0355  0.0372  0.03
Rubinstein 1939   81  0.3068  0.0086  0.0285  0.0241  0.1350  0.05
Rubinstein 1952   63  0.4781  0.0076  0.0379  0.0351  0.0668  0.04
Rubinstein 1966   49  0.5270  0.0066  0.0362  0.0356  0.0564  0.04
Schilhawsky 1960   15  0.6512  0.0116  0.0713  0.4335  0.2110  0.30
Shebanova 2002   66  0.4552  0.0077  0.0371  0.0378  0.0380  0.03
Smith 1975   16  0.654  0.066  0.167  0.5838  0.189  0.32
Sokolov 2002   11  0.6845  0.0017  0.0715  0.4042  0.1713  0.26
Sztompka 1959   45  0.5326  0.0052  0.0646  0.0646  0.0746  0.06
Tomsic 1995   39  0.5684  0.0045  0.0543  0.1177  0.0345  0.06
Uninsky 1932   78  0.3285  0.0069  0.0372  0.0374  0.0379  0.03
Uninsky 1971   62  0.4877  0.0060  0.0457  0.0455  0.0562  0.04
Wasowski 1980   69  0.4065  0.0084  0.0376  0.0347  0.0557  0.04
Zak 1937   57  0.5091  0.0055  0.0459  0.0466  0.0460  0.04
Zak 1951   51  0.5286  0.0047  0.0551  0.0562  0.0552  0.05
Average   7  0.7529  0.008  0.126  0.5976  0.0329  0.13
Random 1   91  -0.0187  0.0091  0.0191  0.0125  0.2555  0.05
Random 2   90  0.0071  0.0090  0.0190  0.0130  0.1865  0.04
Random 3   89  0.0916  0.0089  0.0289  0.0237  0.1456  0.05

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).