Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.3570  0.0021  0.1019  0.4933  0.2717  0.36
Anderszewski 2003   33  0.329  0.0036  0.0530  0.2559  0.0531  0.11
Ashkenazy 1981   42  0.3055  0.0056  0.0561  0.0562  0.0656  0.05
Bacha 2000   35  0.3261  0.0052  0.0555  0.0543  0.1539  0.09
Badura 1965   66  0.2562  0.0065  0.0370  0.0376  0.0383  0.03
Barbosa 1983   65  0.2578  0.0074  0.0380  0.0387  0.0289  0.02
Biret 1990   76  0.2213  0.0075  0.0372  0.0373  0.0484  0.03
Blet 2003   50  0.2819  0.0055  0.0556  0.0560  0.0464  0.04
Block 1995   46  0.3021  0.0040  0.0832  0.2472  0.0437  0.10
Blumental 1952   22  0.3439  0.0019  0.1121  0.4855  0.0622  0.17
Boshniakovich 1969   58  0.2656  0.0060  0.0558  0.0564  0.0555  0.05
Brailowsky 1960   13  0.3711  0.0016  0.1215  0.5424  0.508  0.52
Bunin 1987   54  0.2786  0.0059  0.0554  0.0571  0.0468  0.04
Bunin 1987b   55  0.2782  0.0058  0.0466  0.0475  0.0374  0.03
Chiu 1999   32  0.3257  0.0028  0.0529  0.2676  0.0435  0.10
Cohen 1997   34  0.3247  0.0023  0.1424  0.4330  0.4714  0.45
Cortot 1951   26  0.3343  0.0034  0.0641  0.1626  0.3418  0.23
Csalog 1996   51  0.2879  0.0035  0.0643  0.1550  0.0736  0.10
Czerny 1949   48  0.2835  0.0045  0.0744  0.1446  0.0833  0.11
Czerny 1990   53  0.2750  0.0050  0.0557  0.0562  0.0558  0.05
Duchoud 2007   85  0.1944  0.0072  0.0469  0.0465  0.0566  0.04
Ezaki 2006   6  0.4230  0.008  0.286  0.7119  0.555  0.62
Falvay 1989   16  0.3627  0.0024  0.1223  0.4450  0.0623  0.16
Farrell 1958   67  0.2523  0.0071  0.0464  0.0476  0.0373  0.03
Ferenczy 1958   15  0.3640  0.0014  0.1317  0.5022  0.627  0.56
Fliere 1977   11  0.3842  0.0011  0.1310  0.6258  0.0520  0.18
Fou 1978   36  0.3114  0.0046  0.0647  0.0669  0.0449  0.05
Francois 1956   61  0.2680  0.0043  0.0639  0.1835  0.1921  0.18
Friedman 1923   72  0.2448  0.0068  0.0373  0.0352  0.0670  0.04
Friedman 1923b   71  0.2488  0.0069  0.0560  0.0549  0.0657  0.05
Friedman 1930   70  0.2451  0.0061  0.0648  0.0661  0.0554  0.05
Garcia 2007   82  0.2041  0.0076  0.0379  0.0374  0.0482  0.03
Garcia 2007b   88  0.1552  0.0084  0.0283  0.0284  0.0391  0.02
Gierzod 1998   8  0.4116  0.006  0.1912  0.5824  0.3911  0.48
Gornostaeva 1994   43  0.3083  0.0032  0.0628  0.2862  0.0528  0.12
Groot 1988   28  0.3271  0.0022  0.1520  0.4863  0.0426  0.14
Harasiewicz 1955   41  0.3034  0.0047  0.0552  0.0581  0.0469  0.04
Hatto 1993   24  0.3438  0.0031  0.0631  0.2571  0.0438  0.10
Hatto 1997   20  0.354  0.0025  0.0826  0.3374  0.0432  0.11
Horowitz 1949   73  0.2333  0.0070  0.0462  0.0452  0.0652  0.05
Indjic 1988   37  0.3129  0.0048  0.0553  0.0580  0.0463  0.04
Kapell 1951   75  0.2384  0.0082  0.0285  0.0281  0.0386  0.02
Kissin 1993   80  0.2163  0.0083  0.0286  0.0278  0.0479  0.03
Kushner 1989   25  0.3358  0.0029  0.0634  0.2367  0.0530  0.11
Luisada 1991   57  0.2666  0.0057  0.0465  0.0479  0.0459  0.04
Lushtak 2004   47  0.2969  0.0039  0.0635  0.2272  0.0441  0.09
Malcuzynski 1961   23  0.3445  0.0015  0.1122  0.4765  0.0525  0.15
Magaloff 1978   7  0.4149  0.0010  0.237  0.6626  0.3412  0.47
Magin 1975   69  0.2481  0.0067  0.0375  0.0347  0.0662  0.04
Michalowski 1933   87  0.1685  0.0088  0.0377  0.0381  0.0378  0.03
Milkina 1970   52  0.2864  0.0054  0.0646  0.0674  0.0450  0.05
Mohovich 1999   12  0.3824  0.0012  0.218  0.6437  0.3113  0.45
Moravec 1969   9  0.4115  0.009  0.2411  0.6118  0.419  0.50
Morozova 2008   29  0.327  0.0030  0.0638  0.1876  0.0446  0.08
Neighaus 1950   31  0.3220  0.0026  0.0825  0.3861  0.0527  0.14
Niedzielski 1931   30  0.3225  0.0020  0.1118  0.5020  0.3816  0.44
Ohlsson 1999   56  0.2787  0.0062  0.0551  0.0550  0.0553  0.05
Osinska 1989   45  0.3077  0.0051  0.0559  0.0581  0.0360  0.04
Pachmann 1927   77  0.2272  0.0081  0.0288  0.0276  0.0477  0.03
Paderewski 1930   81  0.2091  0.0077  0.0371  0.0371  0.0476  0.03
Perlemuter 1992   83  0.2074  0.0073  0.0376  0.0377  0.0472  0.03
Pierdomenico 2008   79  0.2265  0.0086  0.0284  0.0284  0.0385  0.02
Poblocka 1999   68  0.2589  0.0053  0.0649  0.0675  0.0448  0.05
Rabcewiczowa 1932   10  0.4010  0.007  0.269  0.6414  0.596  0.61
Rachmaninoff 1923   19  0.358  0.0013  0.1713  0.5629  0.3415  0.44
Rangell 2001   59  0.2631  0.0041  0.0645  0.1264  0.0447  0.07
Richter 1976   63  0.2559  0.0079  0.0467  0.0484  0.0375  0.03
Rosen 1989   14  0.3718  0.0018  0.1116  0.5252  0.0524  0.16
Rosenthal 1930   4  0.616  0.004  0.694  0.912  0.904  0.90
Rosenthal 1931   3  0.712  0.182  0.543  0.953  0.972  0.96
Rosenthal 1931b   1  0.761  0.661  0.651  0.973  0.971  0.97
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   2  0.713  0.123  0.892  0.953  0.973  0.96
Rossi 2007   86  0.1790  0.0078  0.0378  0.0350  0.0661  0.04
Rubinstein 1939   27  0.3328  0.0038  0.0736  0.2156  0.0440  0.09
Rubinstein 1952   40  0.3075  0.0027  0.0627  0.3268  0.0434  0.11
Rubinstein 1966   21  0.3553  0.0037  0.0633  0.2478  0.0345  0.08
Schilhawsky 1960   62  0.2573  0.0066  0.0374  0.0383  0.0380  0.03
Shebanova 2002   60  0.2667  0.0063  0.0463  0.0470  0.0565  0.04
Smith 1975   17  0.3612  0.0017  0.1614  0.5626  0.4110  0.48
Sokolov 2002   38  0.3026  0.0033  0.0637  0.2048  0.0629  0.11
Sztompka 1959   44  0.3036  0.0044  0.0742  0.1680  0.0443  0.08
Tomsic 1995   49  0.2846  0.0049  0.0650  0.0674  0.0451  0.05
Uninsky 1932   64  0.2537  0.0064  0.0468  0.0475  0.0381  0.03
Uninsky 1971   39  0.3032  0.0042  0.0540  0.1872  0.0444  0.08
Wasowski 1980   84  0.2060  0.0087  0.0381  0.0382  0.0471  0.03
Zak 1937   78  0.2222  0.0085  0.0287  0.0286  0.0387  0.02
Zak 1951   74  0.2317  0.0080  0.0282  0.0286  0.0388  0.02
Average   5  0.535  0.005  0.575  0.8778  0.0419  0.19
Random 1   90  -0.0176  0.0089  0.0289  0.0217  0.4242  0.09
Random 2   89  0.0054  0.0090  0.0190  0.0163  0.0490  0.02
Random 3   91  -0.0268  0.0091  0.0191  0.0136  0.1867  0.04

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).